Artefacts

This notebook is used to create the artefacts for the GCN-ID 2024 dataset paper.

import os
import sys
import torch
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from wildlife_tools.similarity import CosineSimilarity
from wildlife_datasets import analysis, datasets, splits
import pycocotools.mask as mask_util
from wildlife_tools.data import ImageDataset
from sklearn.metrics import average_precision_score
import numpy as np
import timm
from transformers import AutoModel
import torch
import numpy as np
from wildlife_tools.inference import TopkClassifier, KnnClassifier
from wildlife_tools.features import DeepFeatures
import torchvision.transforms as T
from PIL import Image
import kaggle
import pandas as pd
from wildlife_tools.data import ImageDataset, FeatureDataset, FeatureDatabase
from gcn_reid.segmentation import decode_rle_mask
from gcn_reid.newt_dataset import upload_to_kaggle
from pathlib import Path
from gcn_reid.newt_dataset import download_kaggle_dataset
from tqdm import tqdm
from transformers import AutoImageProcessor, AutoModel
import cv2
from IPython import display

2025-06-27 09:18:41.180455: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1751015921.203058   14306 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1751015921.210017   14306 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered

dataset_name = 'mshahoyi/gcn-id-2024'
dataset_path = Path('data/gcn-id-2024')
download_kaggle_dataset(dataset_name, dataset_path)

Dataset already exists at data/gcn-id-2024

PosixPath('data/gcn-id-2024')

metadata = pd.read_csv(dataset_path / 'metadata.csv')
metadata

	reference_id	file_path	file_name	is_video	identity	creation_date	bbox	segmentation_mask_rle	is_hard_test_query	is_hard_val_query	is_least_similar_test_query	is_least_similar_val_query	is_random_test_query	is_random_val_query
0	GCN34-P3-S2	newts/1/IMG_2532.JPEG	IMG_2532.JPEG	False	1	2024-05-10 08:37:21+00:00	[14.939163208007812, 507.19061279296875, 1066....	2048x1536:Sd`03ko14N0000000bNKcRN0^O5om1KcRN1]...	NaN	False	NaN	NaN	True	NaN
1	GCN34-P3-S2	newts/1/IMG_2530.JPEG	IMG_2530.JPEG	False	1	2024-05-10 08:37:19+00:00	[288.80975341796875, 363.1075439453125, 1062.7...	2048x1536:[ajb03;31K_n1:YQN10O4Knm1h0lQN_O2O0M...	NaN	False	NaN	NaN	False	NaN
2	GCN34-P3-S2	newts/1/IMG_2531.JPEG	IMG_2531.JPEG	False	1	2024-05-10 08:37:20+00:00	[288.86181640625, 521.5284423828125, 1159.4096...	2048x1536:Pcdb07^o1d0D7H=E5K5L5J5K3M4M3M10001N...	NaN	False	NaN	NaN	False	NaN
3	GCN34-P3-S2	newts/1/IMG_2533.JPEG	IMG_2533.JPEG	False	1	2024-05-10 08:37:23+00:00	[489.2838134765625, 169.9361572265625, 1132.72...	2048x1536:X`Vo06do1;H;dNH]RN>[m1e1]O5M4K4M3M3L...	NaN	False	NaN	NaN	False	NaN
4	GCN34-P3-S2	newts/1/IMG_2534.JPEG	IMG_2534.JPEG	False	1	2024-05-10 08:37:24+00:00	[365.6585388183594, 454.51068115234375, 1005.9...	2048x1536:SmZd03lo13M3M2O1O1N2`QNJTm16gRN3Vm1M...	NaN	True	NaN	NaN	False	NaN
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
2460	GCN2-P4-S6	newts/206/IMG_3588.JPEG	IMG_3588.JPEG	False	206	2024-06-07 08:13:15+00:00	[497.18017578125, 333.2651062011719, 1013.9716...	2046x1538:Zido07bo17M2M2N2N2O1O1N2O1O0O2O1N2O1...	NaN	NaN	NaN	NaN	NaN	NaN
2461	GCN2-P4-S6	newts/206/IMG_3583.MOV	IMG_3583.MOV	True	206	2024-06-07 14:48:31+00:00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2462	GCN2-P4-S6	newts/206/IMG_3583.JPEG	IMG_3583.JPEG	False	206	2024-06-07 08:13:06+00:00	[3.999234437942505, 593.5800170898438, 1326.80...	2046x1538:Z[1>6`1Vm1`NjRN`1Vm1`NjRN`1Um1h0L6J5...	NaN	NaN	NaN	NaN	NaN	NaN
2463	GCN2-P4-S6	newts/206/IMG_3588.MOV	IMG_3588.MOV	True	206	2024-06-07 14:48:27+00:00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2464	GCN2-P4-S6	newts/206/IMG_3586.MOV	IMG_3586.MOV	True	206	2024-06-07 14:48:20+00:00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

2465 rows × 14 columns

artifacts_path = Path('artifacts')

dino_features_df = pd.read_csv(artifacts_path / 'metadata_with_features.csv')
dino_features_df['dinov2_features'] = dino_features_df['dinov2_features'].apply(eval)
dino_features_df

	reference_id	file_path	file_name	is_video	identity	creation_date	bbox	segmentation_mask_rle	dinov2_features
0	GCN34-P3-S2	newts/1/IMG_2532.JPEG	IMG_2532.JPEG	False	1	2024-05-10 08:37:21+00:00	[14.939163208007812, 507.19061279296875, 1066....	2048x1536:Sd`03ko14N0000000bNKcRN0^O5om1KcRN1]...	[0.15917837619781494, 1.008996844291687, -3.47...
1	GCN34-P3-S2	newts/1/IMG_2530.JPEG	IMG_2530.JPEG	False	1	2024-05-10 08:37:19+00:00	[288.80975341796875, 363.1075439453125, 1062.7...	2048x1536:[ajb03;31K_n1:YQN10O4Knm1h0lQN_O2O0M...	[0.2540416121482849, -0.6189689636230469, -2.4...
2	GCN34-P3-S2	newts/1/IMG_2531.JPEG	IMG_2531.JPEG	False	1	2024-05-10 08:37:20+00:00	[288.86181640625, 521.5284423828125, 1159.4096...	2048x1536:Pcdb07^o1d0D7H=E5K5L5J5K3M4M3M10001N...	[-0.3387486934661865, -0.4380609393119812, -1....
3	GCN34-P3-S2	newts/1/IMG_2533.JPEG	IMG_2533.JPEG	False	1	2024-05-10 08:37:23+00:00	[489.2838134765625, 169.9361572265625, 1132.72...	2048x1536:X`Vo06do1;H;dNH]RN>[m1e1]O5M4K4M3M3L...	[1.2573355436325073, 0.47167059779167175, -1.6...
4	GCN34-P3-S2	newts/1/IMG_2534.JPEG	IMG_2534.JPEG	False	1	2024-05-10 08:37:24+00:00	[365.6585388183594, 454.51068115234375, 1005.9...	2048x1536:SmZd03lo13M3M2O1O1N2`QNJTm16gRN3Vm1M...	[0.5498214960098267, -0.217705637216568, -1.48...
...	...	...	...	...	...	...	...	...	...
1227	GCN2-P4-S6	newts/206/IMG_3584.JPEG	IMG_3584.JPEG	False	206	2024-06-07 08:13:07+00:00	[3.784446954727173, 689.7179565429688, 1264.17...	2046x1538:Qc1=ao1000NU1lPN^Oik1GnSNn2\k1o0L3L2...	[0.47062012553215027, -0.17789024114608765, 0....
1228	GCN2-P4-S6	newts/206/IMG_3587.JPEG	IMG_3587.JPEG	False	206	2024-06-07 08:13:14+00:00	[533.1634521484375, 384.0157165527344, 1025.15...	2046x1538:ggjQ19co13M3M2O1N2N2N1O2O1N2O001N2N1...	[1.1572446823120117, 0.08006935566663742, -1.5...
1229	GCN2-P4-S6	newts/206/IMG_3586.JPEG	IMG_3586.JPEG	False	206	2024-06-07 08:13:11+00:00	[3.742919683456421, 945.6688842773438, 1264.32...	2046x1538:ld7:`o1m0SO:I4M2M3N1N10001O001O0O100...	[-0.28730177879333496, -1.254452109336853, -1....
1230	GCN2-P4-S6	newts/206/IMG_3588.JPEG	IMG_3588.JPEG	False	206	2024-06-07 08:13:15+00:00	[497.18017578125, 333.2651062011719, 1013.9716...	2046x1538:Zido07bo17M2M2N2N2O1O1N2O1O0O2O1N2O1...	[0.8618399500846863, 0.15614207088947296, -2.5...
1231	GCN2-P4-S6	newts/206/IMG_3583.JPEG	IMG_3583.JPEG	False	206	2024-06-07 08:13:06+00:00	[3.999234437942505, 593.5800170898438, 1326.80...	2046x1538:Z[1>6`1Vm1`NjRN`1Vm1`NjRN`1Um1h0L6J5...	[0.4422491192817688, -0.05180462449789047, 0.1...

1232 rows × 9 columns

deep_features_df = pd.read_csv(artifacts_path/'baseline_features.csv')

deep_features_df['mega_features'] = deep_features_df['mega_features'].apply(eval)
deep_features_df['miewid_features'] = deep_features_df['miewid_features'].apply(eval)
deep_features_df['mega_features_cropped'] = deep_features_df['mega_features_cropped'].apply(eval)
deep_features_df['miewid_features_cropped'] = deep_features_df['miewid_features_cropped'].apply(eval)
deep_features_df['mega_features_cropped_rotated'] = deep_features_df['mega_features_cropped_rotated'].apply(eval)
deep_features_df['miewid_features_cropped_rotated'] = deep_features_df['miewid_features_cropped_rotated'].apply(eval)
deep_features_df['mega_features_rotated'] = deep_features_df['mega_features_rotated'].apply(eval)
deep_features_df['miewid_features_rotated'] = deep_features_df['miewid_features_rotated'].apply(eval)
deep_features_df

	reference_id	path	image_name	is_video	identity	creation_date	bbox	segmentation_mask_rle	is_hard_test_query	is_hard_val_query	...	is_random_test_query	is_random_val_query	mega_features	miewid_features	mega_features_cropped	miewid_features_cropped	mega_features_cropped_rotated	miewid_features_cropped_rotated	mega_features_rotated	miewid_features_rotated
0	GCN34-P3-S2	newts/1/IMG_2532.JPEG	IMG_2532.JPEG	False	1	2024-05-10 08:37:21+00:00	[14.939163208007812, 507.19061279296875, 1066....	2048x1536:Sd`03ko14N0000000bNKcRN0^O5om1KcRN1]...	NaN	False	...	True	NaN	[-0.2315349131822586, -0.6071900129318237, 0.2...	[-1.0500768423080444, 0.9018495678901672, 1.10...	[-0.26754456758499146, -0.3176382780075073, -0...	[-0.9890046119689941, -0.3878686726093292, 0.0...	[-0.09139543771743774, -0.27838510274887085, -...	[-2.282212018966675, -1.1495726108551025, 0.36...	[0.03521648794412613, -0.27079200744628906, 0....	[-0.6298500895500183, 1.3818387985229492, 0.42...
1	GCN34-P3-S2	newts/1/IMG_2530.JPEG	IMG_2530.JPEG	False	1	2024-05-10 08:37:19+00:00	[288.80975341796875, 363.1075439453125, 1062.7...	2048x1536:[ajb03;31K_n1:YQN10O4Knm1h0lQN_O2O0M...	NaN	False	...	False	NaN	[-0.26202958822250366, -0.36001867055892944, 0...	[-0.7708876729011536, -0.0288423839956522, 2.0...	[-0.1098005622625351, -0.8450853824615479, -0....	[-0.9856569766998291, 0.9584597945213318, 0.01...	[0.07837007194757462, -0.1861935257911682, 0.1...	[-0.7282273769378662, 1.7479289770126343, 1.67...	[0.11916843801736832, -0.4386592507362366, 0.3...	[0.30683621764183044, -0.7263781428337097, 1.2...
2	GCN34-P3-S2	newts/1/IMG_2531.JPEG	IMG_2531.JPEG	False	1	2024-05-10 08:37:20+00:00	[288.86181640625, 521.5284423828125, 1159.4096...	2048x1536:Pcdb07^o1d0D7H=E5K5L5J5K3M4M3M10001N...	NaN	False	...	False	NaN	[-0.10255614668130875, -0.5083745718002319, 0....	[-2.023824453353882, 1.434230089187622, 1.3461...	[0.23407597839832306, -0.5330269932746887, -0....	[-0.4053780734539032, 1.5312628746032715, 0.22...	[0.010707120411098003, -0.2526978552341461, 0....	[0.07896972447633743, -0.052093833684921265, -...	[0.4626787602901459, -0.20769257843494415, 0.2...	[0.3217676877975464, -0.014798182062804699, 0....
3	GCN34-P3-S2	newts/1/IMG_2533.JPEG	IMG_2533.JPEG	False	1	2024-05-10 08:37:23+00:00	[489.2838134765625, 169.9361572265625, 1132.72...	2048x1536:X`Vo06do1;H;dNH]RN>[m1e1]O5M4K4M3M3L...	NaN	False	...	False	NaN	[0.08337608724832535, -0.6282830834388733, 0.7...	[-0.5282672047615051, 0.8011835813522339, 3.37...	[-0.23315174877643585, -0.11018437892198563, 0...	[-1.0730949640274048, -1.6122236251831055, -0....	[-0.11565772444009781, -0.22544527053833008, -...	[-2.143435001373291, 0.8045357465744019, -0.56...	[0.2420016974210739, -0.21130432188510895, 0.1...	[-0.7259004712104797, 0.5267841219902039, 1.34...
4	GCN34-P3-S2	newts/1/IMG_2534.JPEG	IMG_2534.JPEG	False	1	2024-05-10 08:37:24+00:00	[365.6585388183594, 454.51068115234375, 1005.9...	2048x1536:SmZd03lo13M3M2O1O1N2`QNJTm16gRN3Vm1M...	NaN	True	...	False	NaN	[-0.09542281180620193, -0.17980623245239258, 0...	[-1.5232231616973877, 1.9110876321792603, 0.73...	[0.028459327295422554, -0.3369773328304291, -0...	[-1.5894969701766968, 0.6951966285705566, 0.99...	[0.13891857862472534, -0.7412286400794983, -0....	[-1.5177595615386963, -0.8847625255584717, -0....	[-0.048625629395246506, -0.1544991135597229, 0...	[-1.8346766233444214, -1.370731234550476, -0.1...
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
418	GCN7-P3-S6	newts/202/IMG_3618.JPEG	IMG_3618.JPEG	False	202	2024-06-07 08:17:00+00:00	[173.46243286132812, 251.09988403320312, 1007....	2046x1538:]UV;2m18ek14RSNJ_O159;@8:j0KRe10^YN2...	False	NaN	...	NaN	NaN	[0.36045947670936584, -0.4749039113521576, -0....	[0.7483136057853699, -0.9030152559280396, -0.4...	[-0.004413387272506952, 0.20352308452129364, -...	[1.0502841472625732, -0.22691012918949127, 3.3...	[0.18683913350105286, -0.00535912811756134, -0...	[0.6201332807540894, 1.0667979717254639, 1.559...	[0.5556980967521667, -0.2275843620300293, -0.2...	[-0.463854044675827, 0.08879463374614716, -0.2...
419	GCN7-P3-S6	newts/202/IMG_3617.JPEG	IMG_3617.JPEG	False	202	2024-06-07 08:16:56+00:00	[333.4060974121094, 442.3371887207031, 1123.58...	2046x1538:Rlde0g0km1G_RNDOQ1ol1POoRN\2kl1`0J5T...	False	NaN	...	NaN	NaN	[0.11689276248216629, -0.6378297209739685, -0....	[2.944108247756958, -1.1957786083221436, -0.55...	[-0.05661837384104729, -0.5120153427124023, 0....	[1.580594778060913, 0.3132788836956024, 0.5221...	[-0.07758941501379013, -0.9480556845664978, -0...	[0.2786090672016144, 0.957034170627594, 1.7876...	[-0.39309993386268616, -0.5051690340042114, -0...	[0.06167209893465042, -0.06622131168842316, 1....
420	GCN7-P3-S6	newts/202/IMG_3616.JPEG	IMG_3616.JPEG	False	202	2024-06-07 08:16:55+00:00	[372.7743225097656, 699.0594482421875, 1003.42...	2046x1538:k_lg0;4Kan1c1SO`0D;G8J7H7L4K5L4M4L3M...	True	NaN	...	NaN	NaN	[0.44931793212890625, -0.3496696650981903, -0....	[0.3646894693374634, -0.7953448295593262, 0.17...	[-0.0834624394774437, -0.4534577429294586, -0....	[-1.7752217054367065, -1.4919720888137817, 2.1...	[0.039754800498485565, -1.0401729345321655, -0...	[-0.4306054413318634, 0.4130638539791107, -0.1...	[-0.28096890449523926, -0.5068223476409912, -0...	[1.842775583267212, 0.19924509525299072, -0.47...
421	GCN7-P3-S6	newts/202/IMG_3615.JPEG	IMG_3615.JPEG	False	202	2024-06-07 08:16:54+00:00	[414.04083251953125, 1346.5162353515625, 966.7...	2046x1538:Ph`j0<So1h0B?[Oc0Al0WO8I9Bc0C<C6K6I6...	False	NaN	...	NaN	NaN	[0.5203171372413635, -0.11299236863851547, -0....	[1.9476923942565918, -0.48994749784469604, -0....	[-0.16569338738918304, -0.04783319681882858, 0...	[0.7953149080276489, 3.5982272624969482, 1.564...	[-0.02434113249182701, 0.0037951553240418434, ...	[-0.5937361121177673, -1.4422950744628906, 1.6...	[0.3658801019191742, -0.36543792486190796, 0.0...	[0.14535380899906158, -1.3468108177185059, 0.4...
422	GCN7-P3-S6	newts/202/IMG_3619.JPEG	IMG_3619.JPEG	False	202	2024-06-07 08:17:01+00:00	[581.1024780273438, 81.09144592285156, 1273.64...	2046x1538:nRlU12ao1n0POP1gjNaNk:l1gD[NR;k1iD[N...	False	NaN	...	NaN	NaN	[-0.35377237200737, -0.5530931949615479, -0.42...	[0.6184273362159729, -0.3226028084754944, 0.39...	[-0.12055592983961105, -0.40245503187179565, -...	[0.23289822041988373, 0.8358160257339478, 1.84...	[-0.04343392699956894, -0.38101255893707275, -...	[0.9455059766769409, 3.2257723808288574, 0.252...	[-0.49605798721313477, -0.2443748116493225, -0...	[0.8435536026954651, -0.8342486023902893, 0.58...

423 rows × 22 columns

Output least similar images

dinov2_features = np.array(dino_features_df['dinov2_features'].tolist())

# Calculate cosine similarities manually
def cosine_similarity(a, b):
    # Normalize the vectors
    a_norm = a / np.linalg.norm(a, axis=1)[:, np.newaxis]
    b_norm = b / np.linalg.norm(b, axis=1)[:, np.newaxis]
    # Calculate similarity matrix
    return np.dot(a_norm, b_norm.T)

dinov2_similarities = cosine_similarity(dinov2_features, dinov2_features)

dinov2_similarities.shape

(1232, 1232)

# Here I will create a dataframe of all similarities for each image
dino_features_df['id_and_image_name'] = dino_features_df['identity'].astype(str) + '_' + dino_features_df['file_name']
dino_features_df['id_and_image_name']

0         1_IMG_2532.JPEG
1         1_IMG_2530.JPEG
2         1_IMG_2531.JPEG
3         1_IMG_2533.JPEG
4         1_IMG_2534.JPEG
              ...        
1227    206_IMG_3584.JPEG
1228    206_IMG_3587.JPEG
1229    206_IMG_3586.JPEG
1230    206_IMG_3588.JPEG
1231    206_IMG_3583.JPEG
Name: id_and_image_name, Length: 1232, dtype: object

dinov2_similarities_df = pd.DataFrame(dinov2_similarities, index=dino_features_df['id_and_image_name'], columns=dino_features_df['id_and_image_name'])
plt.imshow(dinov2_similarities_df.to_numpy())
plt.title('Dinov2 Similarities for all images')
plt.colorbar()
plt.show()

dinov2_similarities_df.to_csv(artifacts_path/'dinov2_similarities.csv')
dinov2_similarities_df

id_and_image_name	1_IMG_2532.JPEG	1_IMG_2530.JPEG	1_IMG_2531.JPEG	1_IMG_2533.JPEG	1_IMG_2534.JPEG	2_IMG_2524.JPEG	2_IMG_2527.JPEG	2_IMG_2526.JPEG	2_IMG_2525.JPEG	2_IMG_2528.JPEG	...	205_IMG_3581.JPEG	205_IMG_3577.JPEG	205_IMG_3580.JPEG	205_IMG_3578.JPEG	206_IMG_3585.JPEG	206_IMG_3584.JPEG	206_IMG_3587.JPEG	206_IMG_3586.JPEG	206_IMG_3588.JPEG	206_IMG_3583.JPEG
id_and_image_name
1_IMG_2532.JPEG	1.000000	0.813332	0.879888	0.850998	0.813479	0.746874	0.724935	0.698625	0.748820	0.658164	...	0.688525	0.690578	0.676408	0.703017	0.675177	0.708753	0.700074	0.746665	0.691813	0.696542
1_IMG_2530.JPEG	0.813332	1.000000	0.833461	0.800902	0.729356	0.712115	0.643013	0.600463	0.681778	0.600570	...	0.643940	0.620823	0.631780	0.622667	0.587712	0.626577	0.633139	0.629304	0.635964	0.604534
1_IMG_2531.JPEG	0.879888	0.833461	1.000000	0.834979	0.795149	0.716890	0.702605	0.676005	0.727538	0.634601	...	0.649514	0.656397	0.624289	0.644107	0.615615	0.644176	0.651721	0.665901	0.653605	0.621452
1_IMG_2533.JPEG	0.850998	0.800902	0.834979	1.000000	0.780088	0.756950	0.668114	0.640386	0.732097	0.651160	...	0.720670	0.660763	0.692657	0.700327	0.623296	0.650449	0.690462	0.675733	0.657201	0.654708
1_IMG_2534.JPEG	0.813479	0.729356	0.795149	0.780088	1.000000	0.730636	0.732146	0.680611	0.724181	0.726167	...	0.659030	0.687106	0.637938	0.700483	0.691518	0.664188	0.651867	0.697254	0.614804	0.670923
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
206_IMG_3584.JPEG	0.708753	0.626577	0.644176	0.650449	0.664188	0.714146	0.699209	0.687429	0.745159	0.673599	...	0.763114	0.734511	0.755917	0.751901	0.939096	1.000000	0.813961	0.878643	0.767568	0.918880
206_IMG_3587.JPEG	0.700074	0.633139	0.651721	0.690462	0.651867	0.718811	0.668693	0.631837	0.700078	0.622394	...	0.746712	0.684394	0.755745	0.752171	0.788080	0.813961	1.000000	0.836224	0.913911	0.806955
206_IMG_3586.JPEG	0.746665	0.629304	0.665901	0.675733	0.697254	0.740875	0.724477	0.713933	0.735753	0.667181	...	0.769256	0.732786	0.786979	0.786723	0.869043	0.878643	0.836224	1.000000	0.782906	0.882148
206_IMG_3588.JPEG	0.691813	0.635964	0.653605	0.657201	0.614804	0.677047	0.616284	0.619100	0.669488	0.574665	...	0.688912	0.645019	0.697031	0.689405	0.713369	0.767568	0.913911	0.782906	1.000000	0.765179
206_IMG_3583.JPEG	0.696542	0.604534	0.621452	0.654708	0.670923	0.690024	0.667251	0.638447	0.704495	0.651841	...	0.730754	0.678890	0.742274	0.740046	0.882133	0.918880	0.806955	0.882148	0.765179	1.000000

1232 rows × 1232 columns

def plot_identity_similarities(identity, dino_features_df, dinov2_similarities, dataset_path):
    """Plot all images for a given identity with their similarity scores.
    
    Args:
        identity: The identity ID to plot
        dino_features_df: DataFrame containing image features and metadata
        dinov2_similarities: Matrix of similarity scores between all images
        dataset_path: Path to the dataset containing the images
    """
    identity_df = dino_features_df[dino_features_df['identity'] == identity]

    n_images = len(identity_df)
    n_cols = n_images
    n_rows = (n_images + n_cols - 1) // n_cols

    plt.figure(figsize=(3*n_cols, 5*n_rows))

    for idx, (_, row) in enumerate(identity_df.iterrows()):
        # Get similarities for this image with other images of same identity
        image_idx = dino_features_df[dino_features_df['file_name'] == row['file_name']].index[0]
        similarities = dinov2_similarities[image_idx]
        
        # Get max similarity with other images of same identity (excluding self)
        same_identity_mask = (dino_features_df['identity'] == identity) & (dino_features_df['file_name'] != row['file_name'])
        if same_identity_mask.any():
            max_similarity = np.max(similarities[same_identity_mask])
        else:
            max_similarity = 0.0

        # Plot image
        plt.subplot(n_rows, n_cols, idx + 1)
        img = plt.imread(dataset_path/row['file_path'])
        plt.imshow(img)
        plt.xticks([])
        plt.yticks([])
        
        # Get name of most similar image
        if same_identity_mask.any():
            most_similar_idx = np.argmax(similarities[same_identity_mask])
            most_similar_name = dino_features_df.loc[same_identity_mask, 'file_name'].iloc[most_similar_idx]
            plt.title(f'Max similarity: {max_similarity:.3f}\nwith {most_similar_name}')
        else:
            plt.title(f'Max similarity: {max_similarity:.3f}\nNo other images')
        plt.xlabel(row['file_name'])

    plt.suptitle(f'Images for identity {identity}', fontsize=16)
    plt.tight_layout()

identity = dino_features_df['identity'].iloc[0]
plot_identity_similarities(identity, dino_features_df, dinov2_similarities, dataset_path)

dinov2_similarities_df.loc[dinov2_similarities_df.index.str.startswith('1_'), dinov2_similarities_df.columns.str.startswith('1_')]

id_and_image_name	1_IMG_2532.JPEG	1_IMG_2530.JPEG	1_IMG_2531.JPEG	1_IMG_2533.JPEG	1_IMG_2534.JPEG
id_and_image_name
1_IMG_2532.JPEG	1.000000	0.813332	0.879888	0.850998	0.813479
1_IMG_2530.JPEG	0.813332	1.000000	0.833461	0.800902	0.729356
1_IMG_2531.JPEG	0.879888	0.833461	1.000000	0.834979	0.795149
1_IMG_2533.JPEG	0.850998	0.800902	0.834979	1.000000	0.780088
1_IMG_2534.JPEG	0.813479	0.729356	0.795149	0.780088	1.000000

n_images = 4

image_counts = dino_features_df.groupby('identity').file_name.count()
identities_with_n_images = image_counts[image_counts == n_images].index.tolist()
intra_identity_similarities_path = artifacts_path / 'intra_identity_similarities' / f'n_images_{n_images}'
intra_identity_similarities_path.mkdir(parents=True, exist_ok=True)

for identity in identities_with_n_images:
    plot_identity_similarities(identity, dino_features_df, dinov2_similarities, dataset_path)
    plt.savefig(intra_identity_similarities_path / f'identity_{identity}_similarities.png')
    plt.close()
    df = dinov2_similarities_df.loc[dinov2_similarities_df.index.str.startswith(f'{identity}_'), dinov2_similarities_df.columns.str.startswith(f'{identity}_')]
    df.to_csv(intra_identity_similarities_path / f'identity_{identity}_similarities.csv')
    
    # Preview the similarity matrix for this identity
    display.display(df.style.background_gradient(cmap='RdYlBu', vmin=-1, vmax=1)
              .format("{:.3f}")
              .set_caption(f"Similarity matrix for identity {identity}"))

Table 1: Similarity matrix for identity 38

id_and_image_name	38_IMG_2505.JPEG	38_IMG_2502.JPEG	38_IMG_2503.JPEG	38_IMG_2501.JPEG
id_and_image_name
38_IMG_2505.JPEG	1.000	0.739	0.897	0.812
38_IMG_2502.JPEG	0.739	1.000	0.771	0.721
38_IMG_2503.JPEG	0.897	0.771	1.000	0.821
38_IMG_2501.JPEG	0.812	0.721	0.821	1.000

Table 2: Similarity matrix for identity 121

id_and_image_name	121_IMG_3236.JPEG	121_IMG_3235.JPEG	121_IMG_3237.JPEG	121_IMG_3238.JPEG
id_and_image_name
121_IMG_3236.JPEG	1.000	0.842	0.749	0.849
121_IMG_3235.JPEG	0.842	1.000	0.892	0.854
121_IMG_3237.JPEG	0.749	0.892	1.000	0.796
121_IMG_3238.JPEG	0.849	0.854	0.796	1.000

Table 3: Similarity matrix for identity 172

id_and_image_name	172_IMG_3359.JPEG	172_IMG_3358.JPEG	172_IMG_3356.JPEG	172_IMG_3357.JPEG
id_and_image_name
172_IMG_3359.JPEG	1.000	0.872	0.779	0.818
172_IMG_3358.JPEG	0.872	1.000	0.822	0.830
172_IMG_3356.JPEG	0.779	0.822	1.000	0.890
172_IMG_3357.JPEG	0.818	0.830	0.890	1.000

Table 4: Similarity matrix for identity 190

id_and_image_name	190_IMG_3647.JPEG	190_IMG_3649.JPEG	190_IMG_3646.JPEG	190_IMG_3648.JPEG
id_and_image_name
190_IMG_3647.JPEG	1.000	0.838	0.845	0.773
190_IMG_3649.JPEG	0.838	1.000	0.828	0.816
190_IMG_3646.JPEG	0.845	0.828	1.000	0.780
190_IMG_3648.JPEG	0.773	0.816	0.780	1.000

Table 5: Similarity matrix for identity 191

id_and_image_name	191_IMG_3663.JPEG	191_IMG_3664.JPEG	191_IMG_3665.JPEG	191_IMG_3662.JPEG
id_and_image_name
191_IMG_3663.JPEG	1.000	0.792	0.728	0.749
191_IMG_3664.JPEG	0.792	1.000	0.865	0.784
191_IMG_3665.JPEG	0.728	0.865	1.000	0.790
191_IMG_3662.JPEG	0.749	0.784	0.790	1.000

Table 6: Similarity matrix for identity 195

id_and_image_name	195_IMG_3658.JPEG	195_IMG_3657.JPEG	195_IMG_3659.JPEG	195_IMG_3660.JPEG
id_and_image_name
195_IMG_3658.JPEG	1.000	0.822	0.801	0.834
195_IMG_3657.JPEG	0.822	1.000	0.815	0.821
195_IMG_3659.JPEG	0.801	0.815	1.000	0.830
195_IMG_3660.JPEG	0.834	0.821	0.830	1.000

Table 7: Similarity matrix for identity 198

id_and_image_name	198_IMG_3613.JPEG	198_IMG_3611.JPEG	198_IMG_3612.JPEG	198_IMG_3610.JPEG
id_and_image_name
198_IMG_3613.JPEG	1.000	0.820	0.857	0.880
198_IMG_3611.JPEG	0.820	1.000	0.873	0.863
198_IMG_3612.JPEG	0.857	0.873	1.000	0.818
198_IMG_3610.JPEG	0.880	0.863	0.818	1.000

Table 8: Similarity matrix for identity 201

id_and_image_name	201_IMG_3623.JPEG	201_IMG_3624.JPEG	201_IMG_3622.JPEG	201_IMG_3625.JPEG
id_and_image_name
201_IMG_3623.JPEG	1.000	0.962	0.915	0.885
201_IMG_3624.JPEG	0.962	1.000	0.940	0.873
201_IMG_3622.JPEG	0.915	0.940	1.000	0.850
201_IMG_3625.JPEG	0.885	0.873	0.850	1.000

n_images = 5

image_counts = dino_features_df.groupby('identity').file_name.count()
identities_with_n_images = image_counts[image_counts == n_images].index.tolist()
intra_identity_similarities_path = artifacts_path / 'intra_identity_similarities' / f'n_images_{n_images}'
intra_identity_similarities_path.mkdir(parents=True, exist_ok=True)

for identity in identities_with_n_images:
    plot_identity_similarities(identity, dino_features_df, dinov2_similarities, dataset_path)
    plt.savefig(intra_identity_similarities_path / f'identity_{identity}_similarities.png')
    plt.close()
    df = dinov2_similarities_df.loc[dinov2_similarities_df.index.str.startswith(f'{identity}_'), dinov2_similarities_df.columns.str.startswith(f'{identity}_')]
    df.to_csv(intra_identity_similarities_path / f'identity_{identity}_similarities.csv')
    
    # Preview the similarity matrix for this identity
    display.display(df.style.background_gradient(cmap='RdYlBu', vmin=-1, vmax=1)
              .format("{:.3f}")
              .set_caption(f"Similarity matrix for identity {identity}"))

Table 9: Similarity matrix for identity 1

id_and_image_name	1_IMG_2532.JPEG	1_IMG_2530.JPEG	1_IMG_2531.JPEG	1_IMG_2533.JPEG	1_IMG_2534.JPEG
id_and_image_name
1_IMG_2532.JPEG	1.000	0.813	0.880	0.851	0.813
1_IMG_2530.JPEG	0.813	1.000	0.833	0.801	0.729
1_IMG_2531.JPEG	0.880	0.833	1.000	0.835	0.795
1_IMG_2533.JPEG	0.851	0.801	0.835	1.000	0.780
1_IMG_2534.JPEG	0.813	0.729	0.795	0.780	1.000

Table 10: Similarity matrix for identity 2

id_and_image_name	2_IMG_2524.JPEG	2_IMG_2527.JPEG	2_IMG_2526.JPEG	2_IMG_2525.JPEG	2_IMG_2528.JPEG
id_and_image_name
2_IMG_2524.JPEG	1.000	0.844	0.788	0.872	0.783
2_IMG_2527.JPEG	0.844	1.000	0.848	0.858	0.824
2_IMG_2526.JPEG	0.788	0.848	1.000	0.827	0.773
2_IMG_2525.JPEG	0.872	0.858	0.827	1.000	0.788
2_IMG_2528.JPEG	0.783	0.824	0.773	0.788	1.000

Table 11: Similarity matrix for identity 3

id_and_image_name	3_IMG_2538.JPEG	3_IMG_2539.JPEG	3_IMG_2541.JPEG	3_IMG_2540.JPEG	3_IMG_2542.JPEG
id_and_image_name
3_IMG_2538.JPEG	1.000	0.789	0.829	0.870	0.879
3_IMG_2539.JPEG	0.789	1.000	0.769	0.823	0.760
3_IMG_2541.JPEG	0.829	0.769	1.000	0.781	0.825
3_IMG_2540.JPEG	0.870	0.823	0.781	1.000	0.833
3_IMG_2542.JPEG	0.879	0.760	0.825	0.833	1.000

Table 12: Similarity matrix for identity 4

id_and_image_name	4_IMG_2546.JPEG	4_IMG_2544.JPEG	4_IMG_2547.JPEG	4_IMG_2548.JPEG	4_IMG_2545.JPEG
id_and_image_name
4_IMG_2546.JPEG	1.000	0.728	0.705	0.817	0.739
4_IMG_2544.JPEG	0.728	1.000	0.765	0.786	0.738
4_IMG_2547.JPEG	0.705	0.765	1.000	0.830	0.788
4_IMG_2548.JPEG	0.817	0.786	0.830	1.000	0.807
4_IMG_2545.JPEG	0.739	0.738	0.788	0.807	1.000

Table 13: Similarity matrix for identity 5

id_and_image_name	5_IMG_2569.JPEG	5_IMG_2572.JPEG	5_IMG_2573.JPEG	5_IMG_2571.JPEG	5_IMG_2570.JPEG
id_and_image_name
5_IMG_2569.JPEG	1.000	0.604	0.794	0.629	0.854
5_IMG_2572.JPEG	0.604	1.000	0.697	0.784	0.733
5_IMG_2573.JPEG	0.794	0.697	1.000	0.713	0.865
5_IMG_2571.JPEG	0.629	0.784	0.713	1.000	0.763
5_IMG_2570.JPEG	0.854	0.733	0.865	0.763	1.000

Table 14: Similarity matrix for identity 6

id_and_image_name	6_IMG_2566.JPEG	6_IMG_2567.JPEG	6_IMG_2564.JPEG	6_IMG_2565.JPEG	6_IMG_2563.JPEG
id_and_image_name
6_IMG_2566.JPEG	1.000	0.882	0.867	0.938	0.906
6_IMG_2567.JPEG	0.882	1.000	0.895	0.899	0.899
6_IMG_2564.JPEG	0.867	0.895	1.000	0.891	0.926
6_IMG_2565.JPEG	0.938	0.899	0.891	1.000	0.912
6_IMG_2563.JPEG	0.906	0.899	0.926	0.912	1.000

Table 15: Similarity matrix for identity 7

id_and_image_name	7_IMG_2588.JPEG	7_IMG_2590.JPEG	7_IMG_2592.JPEG	7_IMG_2591.JPEG	7_IMG_2589.JPEG
id_and_image_name
7_IMG_2588.JPEG	1.000	0.885	0.859	0.825	0.874
7_IMG_2590.JPEG	0.885	1.000	0.889	0.842	0.871
7_IMG_2592.JPEG	0.859	0.889	1.000	0.862	0.867
7_IMG_2591.JPEG	0.825	0.842	0.862	1.000	0.860
7_IMG_2589.JPEG	0.874	0.871	0.867	0.860	1.000

Table 16: Similarity matrix for identity 8

id_and_image_name	8_IMG_2586.JPEG	8_IMG_2585.JPEG	8_IMG_2582.JPEG	8_IMG_2584.JPEG	8_IMG_2583.JPEG
id_and_image_name
8_IMG_2586.JPEG	1.000	0.944	0.764	0.886	0.795
8_IMG_2585.JPEG	0.944	1.000	0.755	0.895	0.762
8_IMG_2582.JPEG	0.764	0.755	1.000	0.842	0.878
8_IMG_2584.JPEG	0.886	0.895	0.842	1.000	0.841
8_IMG_2583.JPEG	0.795	0.762	0.878	0.841	1.000

Table 17: Similarity matrix for identity 9

id_and_image_name	9_IMG_2561.JPEG	9_IMG_2557.JPEG	9_IMG_2559.JPEG	9_IMG_2560.JPEG	9_IMG_2558.JPEG
id_and_image_name
9_IMG_2561.JPEG	1.000	0.684	0.697	0.812	0.779
9_IMG_2557.JPEG	0.684	1.000	0.809	0.730	0.877
9_IMG_2559.JPEG	0.697	0.809	1.000	0.821	0.818
9_IMG_2560.JPEG	0.812	0.730	0.821	1.000	0.821
9_IMG_2558.JPEG	0.779	0.877	0.818	0.821	1.000

Table 18: Similarity matrix for identity 13

id_and_image_name	13_IMG_2600.JPEG	13_IMG_2602.JPEG	13_IMG_2599.JPEG	13_IMG_2601.JPEG	13_IMG_2603.JPEG
id_and_image_name
13_IMG_2600.JPEG	1.000	0.828	0.869	0.844	0.838
13_IMG_2602.JPEG	0.828	1.000	0.813	0.838	0.905
13_IMG_2599.JPEG	0.869	0.813	1.000	0.819	0.805
13_IMG_2601.JPEG	0.844	0.838	0.819	1.000	0.856
13_IMG_2603.JPEG	0.838	0.905	0.805	0.856	1.000

Table 19: Similarity matrix for identity 14

id_and_image_name	14_IMG_2613.JPEG	14_IMG_2612.JPEG	14_IMG_2614.JPEG	14_IMG_2615.JPEG	14_IMG_2611.JPEG
id_and_image_name
14_IMG_2613.JPEG	1.000	0.857	0.924	0.872	0.920
14_IMG_2612.JPEG	0.857	1.000	0.843	0.806	0.861
14_IMG_2614.JPEG	0.924	0.843	1.000	0.878	0.899
14_IMG_2615.JPEG	0.872	0.806	0.878	1.000	0.871
14_IMG_2611.JPEG	0.920	0.861	0.899	0.871	1.000

Table 20: Similarity matrix for identity 15

id_and_image_name	15_IMG_2641.JPEG	15_IMG_2639.JPEG	15_IMG_2638.JPEG	15_IMG_2637.JPEG	15_IMG_2640.JPEG
id_and_image_name
15_IMG_2641.JPEG	1.000	0.875	0.843	0.916	0.873
15_IMG_2639.JPEG	0.875	1.000	0.918	0.862	0.869
15_IMG_2638.JPEG	0.843	0.918	1.000	0.830	0.833
15_IMG_2637.JPEG	0.916	0.862	0.830	1.000	0.833
15_IMG_2640.JPEG	0.873	0.869	0.833	0.833	1.000

Table 21: Similarity matrix for identity 16

id_and_image_name	16_IMG_2655.JPEG	16_IMG_2660.JPEG	16_IMG_2656.JPEG	16_IMG_2658.JPEG	16_IMG_2659.JPEG
id_and_image_name
16_IMG_2655.JPEG	1.000	0.809	0.872	0.857	0.881
16_IMG_2660.JPEG	0.809	1.000	0.804	0.805	0.822
16_IMG_2656.JPEG	0.872	0.804	1.000	0.825	0.883
16_IMG_2658.JPEG	0.857	0.805	0.825	1.000	0.863
16_IMG_2659.JPEG	0.881	0.822	0.883	0.863	1.000

Table 22: Similarity matrix for identity 18

id_and_image_name	18_IMG_2607.JPEG	18_IMG_2609.JPEG	18_IMG_2606.JPEG	18_IMG_2605.JPEG	18_IMG_2608.JPEG
id_and_image_name
18_IMG_2607.JPEG	1.000	0.749	0.805	0.827	0.805
18_IMG_2609.JPEG	0.749	1.000	0.824	0.811	0.886
18_IMG_2606.JPEG	0.805	0.824	1.000	0.857	0.885
18_IMG_2605.JPEG	0.827	0.811	0.857	1.000	0.881
18_IMG_2608.JPEG	0.805	0.886	0.885	0.881	1.000

Table 23: Similarity matrix for identity 19

id_and_image_name	19_IMG_2646.JPEG	19_IMG_2645.JPEG	19_IMG_2644.JPEG	19_IMG_2643.JPEG	19_IMG_2647.JPEG
id_and_image_name
19_IMG_2646.JPEG	1.000	0.899	0.748	0.763	0.767
19_IMG_2645.JPEG	0.899	1.000	0.769	0.743	0.756
19_IMG_2644.JPEG	0.748	0.769	1.000	0.702	0.688
19_IMG_2643.JPEG	0.763	0.743	0.702	1.000	0.923
19_IMG_2647.JPEG	0.767	0.756	0.688	0.923	1.000

Table 24: Similarity matrix for identity 20

id_and_image_name	20_IMG_2619.JPEG	20_IMG_2621.JPEG	20_IMG_2618.JPEG	20_IMG_2620.JPEG	20_IMG_2617.JPEG
id_and_image_name
20_IMG_2619.JPEG	1.000	0.913	0.804	0.907	0.833
20_IMG_2621.JPEG	0.913	1.000	0.840	0.916	0.876
20_IMG_2618.JPEG	0.804	0.840	1.000	0.794	0.917
20_IMG_2620.JPEG	0.907	0.916	0.794	1.000	0.831
20_IMG_2617.JPEG	0.833	0.876	0.917	0.831	1.000

Table 25: Similarity matrix for identity 21

id_and_image_name	21_IMG_2687.JPEG	21_IMG_2688.JPEG	21_IMG_2686.JPEG	21_IMG_2690.JPEG	21_IMG_2689.JPEG
id_and_image_name
21_IMG_2687.JPEG	1.000	0.860	0.958	0.898	0.898
21_IMG_2688.JPEG	0.860	1.000	0.886	0.837	0.824
21_IMG_2686.JPEG	0.958	0.886	1.000	0.881	0.883
21_IMG_2690.JPEG	0.898	0.837	0.881	1.000	0.938
21_IMG_2689.JPEG	0.898	0.824	0.883	0.938	1.000

Table 26: Similarity matrix for identity 23

id_and_image_name	23_IMG_2627.JPEG	23_IMG_2624.JPEG	23_IMG_2623.JPEG	23_IMG_2626.JPEG	23_IMG_2625.JPEG
id_and_image_name
23_IMG_2627.JPEG	1.000	0.745	0.847	0.883	0.878
23_IMG_2624.JPEG	0.745	1.000	0.818	0.775	0.786
23_IMG_2623.JPEG	0.847	0.818	1.000	0.869	0.816
23_IMG_2626.JPEG	0.883	0.775	0.869	1.000	0.807
23_IMG_2625.JPEG	0.878	0.786	0.816	0.807	1.000

Table 27: Similarity matrix for identity 24

id_and_image_name	24_IMG_2653.JPEG	24_IMG_2652.JPEG	24_IMG_2651.JPEG	24_IMG_2649.JPEG	24_IMG_2650.JPEG
id_and_image_name
24_IMG_2653.JPEG	1.000	0.823	0.772	0.730	0.815
24_IMG_2652.JPEG	0.823	1.000	0.792	0.729	0.832
24_IMG_2651.JPEG	0.772	0.792	1.000	0.845	0.851
24_IMG_2649.JPEG	0.730	0.729	0.845	1.000	0.871
24_IMG_2650.JPEG	0.815	0.832	0.851	0.871	1.000

Table 28: Similarity matrix for identity 26

id_and_image_name	26_IMG_2694.JPEG	26_IMG_2696.JPEG	26_IMG_2695.JPEG	26_IMG_2692.JPEG	26_IMG_2693.JPEG
id_and_image_name
26_IMG_2694.JPEG	1.000	0.863	0.823	0.862	0.897
26_IMG_2696.JPEG	0.863	1.000	0.839	0.860	0.889
26_IMG_2695.JPEG	0.823	0.839	1.000	0.839	0.864
26_IMG_2692.JPEG	0.862	0.860	0.839	1.000	0.891
26_IMG_2693.JPEG	0.897	0.889	0.864	0.891	1.000

Table 29: Similarity matrix for identity 27

id_and_image_name	27_IMG_2451.JPEG	27_IMG_2452.JPEG	27_IMG_2450.JPEG	27_IMG_2453.JPEG	27_IMG_2449.JPEG
id_and_image_name
27_IMG_2451.JPEG	1.000	0.827	0.821	0.829	0.864
27_IMG_2452.JPEG	0.827	1.000	0.817	0.760	0.830
27_IMG_2450.JPEG	0.821	0.817	1.000	0.752	0.884
27_IMG_2453.JPEG	0.829	0.760	0.752	1.000	0.789
27_IMG_2449.JPEG	0.864	0.830	0.884	0.789	1.000

Table 30: Similarity matrix for identity 29

id_and_image_name	29_IMG_2498.JPEG	29_IMG_2496.JPEG	29_IMG_2495.JPEG	29_IMG_2499.JPEG	29_IMG_2497.JPEG
id_and_image_name
29_IMG_2498.JPEG	1.000	0.719	0.702	0.893	0.821
29_IMG_2496.JPEG	0.719	1.000	0.856	0.809	0.797
29_IMG_2495.JPEG	0.702	0.856	1.000	0.782	0.795
29_IMG_2499.JPEG	0.893	0.809	0.782	1.000	0.876
29_IMG_2497.JPEG	0.821	0.797	0.795	0.876	1.000

Table 31: Similarity matrix for identity 30

id_and_image_name	30_IMG_2484.JPEG	30_IMG_2481.JPEG	30_IMG_2482.JPEG	30_IMG_2480.JPEG	30_IMG_2483.JPEG
id_and_image_name
30_IMG_2484.JPEG	1.000	0.870	0.861	0.891	0.810
30_IMG_2481.JPEG	0.870	1.000	0.897	0.923	0.851
30_IMG_2482.JPEG	0.861	0.897	1.000	0.935	0.898
30_IMG_2480.JPEG	0.891	0.923	0.935	1.000	0.863
30_IMG_2483.JPEG	0.810	0.851	0.898	0.863	1.000

Table 32: Similarity matrix for identity 32

id_and_image_name	32_IMG_2474.JPEG	32_IMG_2475.JPEG	32_IMG_2477.JPEG	32_IMG_2478.JPEG	32_IMG_2476.JPEG
id_and_image_name
32_IMG_2474.JPEG	1.000	0.869	0.851	0.900	0.879
32_IMG_2475.JPEG	0.869	1.000	0.873	0.887	0.889
32_IMG_2477.JPEG	0.851	0.873	1.000	0.872	0.916
32_IMG_2478.JPEG	0.900	0.887	0.872	1.000	0.898
32_IMG_2476.JPEG	0.879	0.889	0.916	0.898	1.000

Table 33: Similarity matrix for identity 36

id_and_image_name	36_IMG_2465.JPEG	36_IMG_2463.JPEG	36_IMG_2466.JPEG	36_IMG_2462.JPEG	36_IMG_2464.JPEG
id_and_image_name
36_IMG_2465.JPEG	1.000	0.823	0.813	0.788	0.899
36_IMG_2463.JPEG	0.823	1.000	0.731	0.840	0.863
36_IMG_2466.JPEG	0.813	0.731	1.000	0.833	0.839
36_IMG_2462.JPEG	0.788	0.840	0.833	1.000	0.837
36_IMG_2464.JPEG	0.899	0.863	0.839	0.837	1.000

Table 34: Similarity matrix for identity 37

id_and_image_name	37_IMG_2472.JPEG	37_IMG_2470.JPEG	37_IMG_2471.JPEG	37_IMG_2468.JPEG	37_IMG_2469.JPEG
id_and_image_name
37_IMG_2472.JPEG	1.000	0.591	0.711	0.620	0.541
37_IMG_2470.JPEG	0.591	1.000	0.817	0.885	0.880
37_IMG_2471.JPEG	0.711	0.817	1.000	0.847	0.795
37_IMG_2468.JPEG	0.620	0.885	0.847	1.000	0.866
37_IMG_2469.JPEG	0.541	0.880	0.795	0.866	1.000

Table 35: Similarity matrix for identity 40

id_and_image_name	40_IMG_2375.JPEG	40_IMG_2377.JPEG	40_IMG_2376.JPEG	40_IMG_2373.JPEG	40_IMG_2374.JPEG
id_and_image_name
40_IMG_2375.JPEG	1.000	0.777	0.877	0.793	0.882
40_IMG_2377.JPEG	0.777	1.000	0.777	0.670	0.809
40_IMG_2376.JPEG	0.877	0.777	1.000	0.801	0.935
40_IMG_2373.JPEG	0.793	0.670	0.801	1.000	0.787
40_IMG_2374.JPEG	0.882	0.809	0.935	0.787	1.000

Table 36: Similarity matrix for identity 43

id_and_image_name	43_IMG_2390.JPEG	43_IMG_2387.JPEG	43_IMG_2389.JPEG	43_IMG_2388.JPEG	43_IMG_2386.JPEG
id_and_image_name
43_IMG_2390.JPEG	1.000	0.834	0.867	0.828	0.859
43_IMG_2387.JPEG	0.834	1.000	0.795	0.850	0.847
43_IMG_2389.JPEG	0.867	0.795	1.000	0.840	0.877
43_IMG_2388.JPEG	0.828	0.850	0.840	1.000	0.844
43_IMG_2386.JPEG	0.859	0.847	0.877	0.844	1.000

Table 37: Similarity matrix for identity 44

id_and_image_name	44_IMG_2338.JPEG	44_IMG_2336.JPEG	44_IMG_2334.JPEG	44_IMG_2335.JPEG	44_IMG_2337.JPEG
id_and_image_name
44_IMG_2338.JPEG	1.000	0.668	0.663	0.673	0.612
44_IMG_2336.JPEG	0.668	1.000	0.835	0.850	0.867
44_IMG_2334.JPEG	0.663	0.835	1.000	0.816	0.830
44_IMG_2335.JPEG	0.673	0.850	0.816	1.000	0.811
44_IMG_2337.JPEG	0.612	0.867	0.830	0.811	1.000

Table 38: Similarity matrix for identity 47

id_and_image_name	47_IMG_2358.JPEG	47_IMG_2355.JPEG	47_IMG_2354.JPEG	47_IMG_2356.JPEG	47_IMG_2357.JPEG
id_and_image_name
47_IMG_2358.JPEG	1.000	0.683	0.696	0.668	0.788
47_IMG_2355.JPEG	0.683	1.000	0.824	0.661	0.762
47_IMG_2354.JPEG	0.696	0.824	1.000	0.630	0.826
47_IMG_2356.JPEG	0.668	0.661	0.630	1.000	0.720
47_IMG_2357.JPEG	0.788	0.762	0.826	0.720	1.000

Table 39: Similarity matrix for identity 48

id_and_image_name	48_IMG_2417.JPEG	48_IMG_2415.JPEG	48_IMG_2416.JPEG	48_IMG_2413.JPEG	48_IMG_2414.JPEG
id_and_image_name
48_IMG_2417.JPEG	1.000	0.875	0.894	0.890	0.824
48_IMG_2415.JPEG	0.875	1.000	0.834	0.889	0.855
48_IMG_2416.JPEG	0.894	0.834	1.000	0.877	0.736
48_IMG_2413.JPEG	0.890	0.889	0.877	1.000	0.851
48_IMG_2414.JPEG	0.824	0.855	0.736	0.851	1.000

Table 40: Similarity matrix for identity 52

id_and_image_name	52_IMG_2432.JPEG	52_IMG_2434.JPEG	52_IMG_2435.JPEG	52_IMG_2433.JPEG	52_IMG_2436.JPEG
id_and_image_name
52_IMG_2432.JPEG	1.000	0.848	0.827	0.866	0.842
52_IMG_2434.JPEG	0.848	1.000	0.822	0.887	0.850
52_IMG_2435.JPEG	0.827	0.822	1.000	0.834	0.813
52_IMG_2433.JPEG	0.866	0.887	0.834	1.000	0.842
52_IMG_2436.JPEG	0.842	0.850	0.813	0.842	1.000

Table 41: Similarity matrix for identity 53

id_and_image_name	53_IMG_2371.JPEG	53_IMG_2368.JPEG	53_IMG_2367.JPEG	53_IMG_2370.JPEG	53_IMG_2369.JPEG
id_and_image_name
53_IMG_2371.JPEG	1.000	0.861	0.852	0.883	0.844
53_IMG_2368.JPEG	0.861	1.000	0.830	0.851	0.893
53_IMG_2367.JPEG	0.852	0.830	1.000	0.866	0.804
53_IMG_2370.JPEG	0.883	0.851	0.866	1.000	0.840
53_IMG_2369.JPEG	0.844	0.893	0.804	0.840	1.000

Table 42: Similarity matrix for identity 55

id_and_image_name	55_IMG_2312.JPEG	55_IMG_2313.JPEG	55_IMG_2310.JPEG	55_IMG_2311.JPEG	55_IMG_2309.JPEG
id_and_image_name
55_IMG_2312.JPEG	1.000	0.771	0.884	0.867	0.848
55_IMG_2313.JPEG	0.771	1.000	0.798	0.752	0.754
55_IMG_2310.JPEG	0.884	0.798	1.000	0.880	0.878
55_IMG_2311.JPEG	0.867	0.752	0.880	1.000	0.870
55_IMG_2309.JPEG	0.848	0.754	0.878	0.870	1.000

Table 43: Similarity matrix for identity 56

id_and_image_name	56_IMG_2428.JPEG	56_IMG_2426.JPEG	56_IMG_2427.JPEG	56_IMG_2429.JPEG	56_IMG_2430.JPEG
id_and_image_name
56_IMG_2428.JPEG	1.000	0.815	0.859	0.798	0.788
56_IMG_2426.JPEG	0.815	1.000	0.853	0.844	0.825
56_IMG_2427.JPEG	0.859	0.853	1.000	0.850	0.827
56_IMG_2429.JPEG	0.798	0.844	0.850	1.000	0.767
56_IMG_2430.JPEG	0.788	0.825	0.827	0.767	1.000

Table 44: Similarity matrix for identity 57

id_and_image_name	57_IMG_2351.JPEG	57_IMG_2352.JPEG	57_IMG_2350.JPEG	57_IMG_2349.JPEG	57_IMG_2348.JPEG
id_and_image_name
57_IMG_2351.JPEG	1.000	0.273	0.846	0.830	0.860
57_IMG_2352.JPEG	0.273	1.000	0.365	0.300	0.303
57_IMG_2350.JPEG	0.846	0.365	1.000	0.828	0.872
57_IMG_2349.JPEG	0.830	0.300	0.828	1.000	0.831
57_IMG_2348.JPEG	0.860	0.303	0.872	0.831	1.000

Table 45: Similarity matrix for identity 59

id_and_image_name	59_IMG_2721.JPEG	59_IMG_2720.JPEG	59_IMG_2719.JPEG	59_IMG_2722.JPEG	59_IMG_2718.JPEG
id_and_image_name
59_IMG_2721.JPEG	1.000	0.544	0.801	0.735	0.805
59_IMG_2720.JPEG	0.544	1.000	0.648	0.705	0.585
59_IMG_2719.JPEG	0.801	0.648	1.000	0.824	0.811
59_IMG_2722.JPEG	0.735	0.705	0.824	1.000	0.800
59_IMG_2718.JPEG	0.805	0.585	0.811	0.800	1.000

Table 46: Similarity matrix for identity 61

id_and_image_name	61_IMG_2714.JPEG	61_IMG_2713.JPEG	61_IMG_2712.JPEG	61_IMG_2715.JPEG	61_IMG_2716.JPEG
id_and_image_name
61_IMG_2714.JPEG	1.000	0.830	0.863	0.865	0.867
61_IMG_2713.JPEG	0.830	1.000	0.945	0.879	0.860
61_IMG_2712.JPEG	0.863	0.945	1.000	0.869	0.895
61_IMG_2715.JPEG	0.865	0.879	0.869	1.000	0.867
61_IMG_2716.JPEG	0.867	0.860	0.895	0.867	1.000

Table 47: Similarity matrix for identity 63

id_and_image_name	63_IMG_2741.JPEG	63_IMG_2743.JPEG	63_IMG_2742.JPEG	63_IMG_2745.JPEG	63_IMG_2744.JPEG
id_and_image_name
63_IMG_2741.JPEG	1.000	0.624	0.843	0.775	0.684
63_IMG_2743.JPEG	0.624	1.000	0.668	0.746	0.793
63_IMG_2742.JPEG	0.843	0.668	1.000	0.769	0.753
63_IMG_2745.JPEG	0.775	0.746	0.769	1.000	0.785
63_IMG_2744.JPEG	0.684	0.793	0.753	0.785	1.000

Table 48: Similarity matrix for identity 65

id_and_image_name	65_IMG_2729.JPEG	65_IMG_2727.JPEG	65_IMG_2726.JPEG	65_IMG_2725.JPEG	65_IMG_2728.JPEG
id_and_image_name
65_IMG_2729.JPEG	1.000	0.837	0.859	0.865	0.858
65_IMG_2727.JPEG	0.837	1.000	0.877	0.843	0.876
65_IMG_2726.JPEG	0.859	0.877	1.000	0.897	0.827
65_IMG_2725.JPEG	0.865	0.843	0.897	1.000	0.841
65_IMG_2728.JPEG	0.858	0.876	0.827	0.841	1.000

Table 49: Similarity matrix for identity 81

id_and_image_name	81_IMG_2884.JPEG	81_IMG_2880.JPEG	81_IMG_2881.JPEG	81_IMG_2883.JPEG	81_IMG_2882.JPEG
id_and_image_name
81_IMG_2884.JPEG	1.000	0.647	0.883	0.854	0.849
81_IMG_2880.JPEG	0.647	1.000	0.746	0.673	0.679
81_IMG_2881.JPEG	0.883	0.746	1.000	0.852	0.896
81_IMG_2883.JPEG	0.854	0.673	0.852	1.000	0.830
81_IMG_2882.JPEG	0.849	0.679	0.896	0.830	1.000

Table 50: Similarity matrix for identity 82

id_and_image_name	82_IMG_2869.JPEG	82_IMG_2871.JPEG	82_IMG_2868.JPEG	82_IMG_2870.JPEG	82_IMG_2872.JPEG
id_and_image_name
82_IMG_2869.JPEG	1.000	0.762	0.813	0.753	0.776
82_IMG_2871.JPEG	0.762	1.000	0.804	0.854	0.832
82_IMG_2868.JPEG	0.813	0.804	1.000	0.788	0.855
82_IMG_2870.JPEG	0.753	0.854	0.788	1.000	0.805
82_IMG_2872.JPEG	0.776	0.832	0.855	0.805	1.000

Table 51: Similarity matrix for identity 85

id_and_image_name	85_IMG_2874.JPEG	85_IMG_2878.JPEG	85_IMG_2876.JPEG	85_IMG_2877.JPEG	85_IMG_2875.JPEG
id_and_image_name
85_IMG_2874.JPEG	1.000	0.701	0.719	0.684	0.767
85_IMG_2878.JPEG	0.701	1.000	0.717	0.808	0.670
85_IMG_2876.JPEG	0.719	0.717	1.000	0.741	0.696
85_IMG_2877.JPEG	0.684	0.808	0.741	1.000	0.610
85_IMG_2875.JPEG	0.767	0.670	0.696	0.610	1.000

Table 52: Similarity matrix for identity 87

id_and_image_name	87_IMG_2827.JPEG	87_IMG_2824.JPEG	87_IMG_2826.JPEG	87_IMG_2828.JPEG	87_IMG_2825.JPEG
id_and_image_name
87_IMG_2827.JPEG	1.000	0.596	0.595	0.627	0.661
87_IMG_2824.JPEG	0.596	1.000	0.728	0.759	0.659
87_IMG_2826.JPEG	0.595	0.728	1.000	0.819	0.833
87_IMG_2828.JPEG	0.627	0.759	0.819	1.000	0.728
87_IMG_2825.JPEG	0.661	0.659	0.833	0.728	1.000

Table 53: Similarity matrix for identity 88

id_and_image_name	88_IMG_2834.JPEG	88_IMG_2832.JPEG	88_IMG_2833.JPEG	88_IMG_2831.JPEG	88_IMG_2830.JPEG
id_and_image_name
88_IMG_2834.JPEG	1.000	0.815	0.829	0.851	0.791
88_IMG_2832.JPEG	0.815	1.000	0.889	0.810	0.830
88_IMG_2833.JPEG	0.829	0.889	1.000	0.778	0.807
88_IMG_2831.JPEG	0.851	0.810	0.778	1.000	0.733
88_IMG_2830.JPEG	0.791	0.830	0.807	0.733	1.000

Table 54: Similarity matrix for identity 101

id_and_image_name	101_IMG_3572.JPEG	101_IMG_3571.JPEG	101_IMG_3570.JPEG	101_IMG_3569.JPEG	101_IMG_3568.JPEG
id_and_image_name
101_IMG_3572.JPEG	1.000	0.947	0.911	0.628	0.637
101_IMG_3571.JPEG	0.947	1.000	0.899	0.625	0.638
101_IMG_3570.JPEG	0.911	0.899	1.000	0.684	0.693
101_IMG_3569.JPEG	0.628	0.625	0.684	1.000	0.786
101_IMG_3568.JPEG	0.637	0.638	0.693	0.786	1.000

Table 55: Similarity matrix for identity 103

id_and_image_name	103_IMG_3076.JPEG	103_IMG_3077.JPEG	103_IMG_3075.JPEG	103_IMG_3078.JPEG	103_IMG_3079.JPEG
id_and_image_name
103_IMG_3076.JPEG	1.000	0.766	0.840	0.671	0.633
103_IMG_3077.JPEG	0.766	1.000	0.829	0.749	0.680
103_IMG_3075.JPEG	0.840	0.829	1.000	0.709	0.673
103_IMG_3078.JPEG	0.671	0.749	0.709	1.000	0.852
103_IMG_3079.JPEG	0.633	0.680	0.673	0.852	1.000

Table 56: Similarity matrix for identity 104

id_and_image_name	104_IMG_3138.JPEG	104_IMG_3139.JPEG	104_IMG_3140.JPEG	104_IMG_3141.JPEG	104_IMG_3137.JPEG
id_and_image_name
104_IMG_3138.JPEG	1.000	0.848	0.745	0.728	0.783
104_IMG_3139.JPEG	0.848	1.000	0.800	0.754	0.828
104_IMG_3140.JPEG	0.745	0.800	1.000	0.796	0.776
104_IMG_3141.JPEG	0.728	0.754	0.796	1.000	0.659
104_IMG_3137.JPEG	0.783	0.828	0.776	0.659	1.000

Table 57: Similarity matrix for identity 105

id_and_image_name	105_IMG_3081.JPEG	105_IMG_3082.JPEG	105_IMG_3084.JPEG	105_IMG_3085.JPEG	105_IMG_3083.JPEG
id_and_image_name
105_IMG_3081.JPEG	1.000	0.881	0.867	0.843	0.898
105_IMG_3082.JPEG	0.881	1.000	0.844	0.848	0.925
105_IMG_3084.JPEG	0.867	0.844	1.000	0.874	0.894
105_IMG_3085.JPEG	0.843	0.848	0.874	1.000	0.882
105_IMG_3083.JPEG	0.898	0.925	0.894	0.882	1.000

Table 58: Similarity matrix for identity 106

id_and_image_name	106_IMG_3114.JPEG	106_IMG_3111.JPEG	106_IMG_3115.JPEG	106_IMG_3112.JPEG	106_IMG_3113.JPEG
id_and_image_name
106_IMG_3114.JPEG	1.000	0.828	0.856	0.847	0.843
106_IMG_3111.JPEG	0.828	1.000	0.774	0.799	0.758
106_IMG_3115.JPEG	0.856	0.774	1.000	0.869	0.887
106_IMG_3112.JPEG	0.847	0.799	0.869	1.000	0.819
106_IMG_3113.JPEG	0.843	0.758	0.887	0.819	1.000

Table 59: Similarity matrix for identity 107

id_and_image_name	107_IMG_3091.JPEG	107_IMG_3090.JPEG	107_IMG_3089.JPEG	107_IMG_3087.JPEG	107_IMG_3088.JPEG
id_and_image_name
107_IMG_3091.JPEG	1.000	0.806	0.854	0.764	0.822
107_IMG_3090.JPEG	0.806	1.000	0.900	0.742	0.835
107_IMG_3089.JPEG	0.854	0.900	1.000	0.811	0.882
107_IMG_3087.JPEG	0.764	0.742	0.811	1.000	0.848
107_IMG_3088.JPEG	0.822	0.835	0.882	0.848	1.000

Table 60: Similarity matrix for identity 108

id_and_image_name	108_IMG_3159.JPEG	108_IMG_3155.JPEG	108_IMG_3158.JPEG	108_IMG_3157.JPEG	108_IMG_3156.JPEG
id_and_image_name
108_IMG_3159.JPEG	1.000	0.776	0.835	0.841	0.873
108_IMG_3155.JPEG	0.776	1.000	0.836	0.758	0.821
108_IMG_3158.JPEG	0.835	0.836	1.000	0.837	0.854
108_IMG_3157.JPEG	0.841	0.758	0.837	1.000	0.859
108_IMG_3156.JPEG	0.873	0.821	0.854	0.859	1.000

Table 61: Similarity matrix for identity 110

id_and_image_name	110_IMG_3134.JPEG	110_IMG_3132.JPEG	110_IMG_3131.JPEG	110_IMG_3135.JPEG	110_IMG_3133.JPEG
id_and_image_name
110_IMG_3134.JPEG	1.000	0.877	0.869	0.915	0.906
110_IMG_3132.JPEG	0.877	1.000	0.850	0.907	0.949
110_IMG_3131.JPEG	0.869	0.850	1.000	0.860	0.840
110_IMG_3135.JPEG	0.915	0.907	0.860	1.000	0.929
110_IMG_3133.JPEG	0.906	0.949	0.840	0.929	1.000

Table 62: Similarity matrix for identity 111

id_and_image_name	111_IMG_3067.JPEG	111_IMG_3063.JPEG	111_IMG_3064.JPEG	111_IMG_3066.JPEG	111_IMG_3065.JPEG
id_and_image_name
111_IMG_3067.JPEG	1.000	0.794	0.818	0.831	0.807
111_IMG_3063.JPEG	0.794	1.000	0.859	0.826	0.790
111_IMG_3064.JPEG	0.818	0.859	1.000	0.814	0.832
111_IMG_3066.JPEG	0.831	0.826	0.814	1.000	0.785
111_IMG_3065.JPEG	0.807	0.790	0.832	0.785	1.000

Table 63: Similarity matrix for identity 113

id_and_image_name	113_IMG_3071.JPEG	113_IMG_3072.JPEG	113_IMG_3070.JPEG	113_IMG_3069.JPEG	113_IMG_3073.JPEG
id_and_image_name
113_IMG_3071.JPEG	1.000	0.831	0.860	0.879	0.837
113_IMG_3072.JPEG	0.831	1.000	0.804	0.811	0.851
113_IMG_3070.JPEG	0.860	0.804	1.000	0.876	0.829
113_IMG_3069.JPEG	0.879	0.811	0.876	1.000	0.827
113_IMG_3073.JPEG	0.837	0.851	0.829	0.827	1.000

Table 64: Similarity matrix for identity 114

id_and_image_name	114_IMG_3097.JPEG	114_IMG_3093.JPEG	114_IMG_3095.JPEG	114_IMG_3094.JPEG	114_IMG_3096.JPEG
id_and_image_name
114_IMG_3097.JPEG	1.000	0.819	0.863	0.832	0.855
114_IMG_3093.JPEG	0.819	1.000	0.806	0.799	0.801
114_IMG_3095.JPEG	0.863	0.806	1.000	0.841	0.816
114_IMG_3094.JPEG	0.832	0.799	0.841	1.000	0.773
114_IMG_3096.JPEG	0.855	0.801	0.816	0.773	1.000

Table 65: Similarity matrix for identity 115

id_and_image_name	115_IMG_3149.JPEG	115_IMG_3150.JPEG	115_IMG_3153.JPEG	115_IMG_3152.JPEG	115_IMG_3151.JPEG
id_and_image_name
115_IMG_3149.JPEG	1.000	0.877	0.868	0.863	0.866
115_IMG_3150.JPEG	0.877	1.000	0.888	0.863	0.873
115_IMG_3153.JPEG	0.868	0.888	1.000	0.927	0.955
115_IMG_3152.JPEG	0.863	0.863	0.927	1.000	0.925
115_IMG_3151.JPEG	0.866	0.873	0.955	0.925	1.000

Table 66: Similarity matrix for identity 116

id_and_image_name	116_IMG_3105.JPEG	116_IMG_3108.JPEG	116_IMG_3107.JPEG	116_IMG_3106.JPEG	116_IMG_3109.JPEG
id_and_image_name
116_IMG_3105.JPEG	1.000	0.787	0.716	0.758	0.716
116_IMG_3108.JPEG	0.787	1.000	0.867	0.793	0.702
116_IMG_3107.JPEG	0.716	0.867	1.000	0.781	0.669
116_IMG_3106.JPEG	0.758	0.793	0.781	1.000	0.731
116_IMG_3109.JPEG	0.716	0.702	0.669	0.731	1.000

Table 67: Similarity matrix for identity 117

id_and_image_name	117_IMG_3100.JPEG	117_IMG_3103.JPEG	117_IMG_3102.JPEG	117_IMG_3099.JPEG	117_IMG_3101.JPEG
id_and_image_name
117_IMG_3100.JPEG	1.000	0.840	0.805	0.834	0.850
117_IMG_3103.JPEG	0.840	1.000	0.859	0.751	0.850
117_IMG_3102.JPEG	0.805	0.859	1.000	0.700	0.922
117_IMG_3099.JPEG	0.834	0.751	0.700	1.000	0.744
117_IMG_3101.JPEG	0.850	0.850	0.922	0.744	1.000

Table 68: Similarity matrix for identity 118

id_and_image_name	118_IMG_3144.JPEG	118_IMG_3143.JPEG	118_IMG_3146.JPEG	118_IMG_3147.JPEG	118_IMG_3145.JPEG
id_and_image_name
118_IMG_3144.JPEG	1.000	0.849	0.865	0.884	0.857
118_IMG_3143.JPEG	0.849	1.000	0.787	0.822	0.775
118_IMG_3146.JPEG	0.865	0.787	1.000	0.879	0.901
118_IMG_3147.JPEG	0.884	0.822	0.879	1.000	0.871
118_IMG_3145.JPEG	0.857	0.775	0.901	0.871	1.000

Table 69: Similarity matrix for identity 119

id_and_image_name	119_IMG_3168.JPEG	119_IMG_3169.JPEG	119_IMG_3170.JPEG	119_IMG_3171.JPEG	119_IMG_3172.JPEG
id_and_image_name
119_IMG_3168.JPEG	1.000	0.776	0.712	0.798	0.635
119_IMG_3169.JPEG	0.776	1.000	0.834	0.887	0.612
119_IMG_3170.JPEG	0.712	0.834	1.000	0.841	0.685
119_IMG_3171.JPEG	0.798	0.887	0.841	1.000	0.659
119_IMG_3172.JPEG	0.635	0.612	0.685	0.659	1.000

Table 70: Similarity matrix for identity 120

id_and_image_name	120_IMG_3164.JPEG	120_IMG_3166.JPEG	120_IMG_3162.JPEG	120_IMG_3165.JPEG	120_IMG_3163.JPEG
id_and_image_name
120_IMG_3164.JPEG	1.000	0.860	0.868	0.925	0.901
120_IMG_3166.JPEG	0.860	1.000	0.804	0.818	0.833
120_IMG_3162.JPEG	0.868	0.804	1.000	0.852	0.881
120_IMG_3165.JPEG	0.925	0.818	0.852	1.000	0.893
120_IMG_3163.JPEG	0.901	0.833	0.881	0.893	1.000

Table 71: Similarity matrix for identity 122

id_and_image_name	122_IMG_3190.JPEG	122_IMG_3187.JPEG	122_IMG_3188.JPEG	122_IMG_3186.JPEG	122_IMG_3189.JPEG
id_and_image_name
122_IMG_3190.JPEG	1.000	0.874	0.830	0.845	0.889
122_IMG_3187.JPEG	0.874	1.000	0.799	0.853	0.878
122_IMG_3188.JPEG	0.830	0.799	1.000	0.888	0.828
122_IMG_3186.JPEG	0.845	0.853	0.888	1.000	0.856
122_IMG_3189.JPEG	0.889	0.878	0.828	0.856	1.000

Table 72: Similarity matrix for identity 124

id_and_image_name	124_IMG_3196.JPEG	124_IMG_3193.JPEG	124_IMG_3195.JPEG	124_IMG_3192.JPEG	124_IMG_3194.JPEG
id_and_image_name
124_IMG_3196.JPEG	1.000	0.900	0.897	0.918	0.879
124_IMG_3193.JPEG	0.900	1.000	0.891	0.916	0.936
124_IMG_3195.JPEG	0.897	0.891	1.000	0.884	0.882
124_IMG_3192.JPEG	0.918	0.916	0.884	1.000	0.914
124_IMG_3194.JPEG	0.879	0.936	0.882	0.914	1.000

Table 73: Similarity matrix for identity 128

id_and_image_name	128_IMG_3174.JPEG	128_IMG_3175.JPEG	128_IMG_3178.JPEG	128_IMG_3176.JPEG	128_IMG_3177.JPEG
id_and_image_name
128_IMG_3174.JPEG	1.000	0.820	0.671	0.840	0.716
128_IMG_3175.JPEG	0.820	1.000	0.561	0.827	0.809
128_IMG_3178.JPEG	0.671	0.561	1.000	0.717	0.630
128_IMG_3176.JPEG	0.840	0.827	0.717	1.000	0.849
128_IMG_3177.JPEG	0.716	0.809	0.630	0.849	1.000

Table 74: Similarity matrix for identity 130

id_and_image_name	130_IMG_3184.JPEG	130_IMG_3183.JPEG	130_IMG_3181.JPEG	130_IMG_3180.JPEG	130_IMG_3182.JPEG
id_and_image_name
130_IMG_3184.JPEG	1.000	0.843	0.736	0.833	0.820
130_IMG_3183.JPEG	0.843	1.000	0.796	0.833	0.882
130_IMG_3181.JPEG	0.736	0.796	1.000	0.818	0.850
130_IMG_3180.JPEG	0.833	0.833	0.818	1.000	0.845
130_IMG_3182.JPEG	0.820	0.882	0.850	0.845	1.000

Table 75: Similarity matrix for identity 131

id_and_image_name	131_IMG_3202.JPEG	131_IMG_3199.JPEG	131_IMG_3200.JPEG	131_IMG_3201.JPEG	131_IMG_3198.JPEG
id_and_image_name
131_IMG_3202.JPEG	1.000	0.847	0.869	0.901	0.836
131_IMG_3199.JPEG	0.847	1.000	0.916	0.879	0.922
131_IMG_3200.JPEG	0.869	0.916	1.000	0.928	0.913
131_IMG_3201.JPEG	0.901	0.879	0.928	1.000	0.884
131_IMG_3198.JPEG	0.836	0.922	0.913	0.884	1.000

Table 76: Similarity matrix for identity 132

id_and_image_name	132_IMG_3242.JPEG	132_IMG_3245.JPEG	132_IMG_3241.JPEG	132_IMG_3244.JPEG	132_IMG_3243.JPEG
id_and_image_name
132_IMG_3242.JPEG	1.000	0.804	0.826	0.830	0.810
132_IMG_3245.JPEG	0.804	1.000	0.849	0.824	0.745
132_IMG_3241.JPEG	0.826	0.849	1.000	0.844	0.772
132_IMG_3244.JPEG	0.830	0.824	0.844	1.000	0.749
132_IMG_3243.JPEG	0.810	0.745	0.772	0.749	1.000

Table 77: Similarity matrix for identity 133

id_and_image_name	133_IMG_2970.JPEG	133_IMG_2972.JPEG	133_IMG_2971.JPEG	133_IMG_2968.JPEG	133_IMG_2969.JPEG
id_and_image_name
133_IMG_2970.JPEG	1.000	0.828	0.829	0.748	0.815
133_IMG_2972.JPEG	0.828	1.000	0.938	0.789	0.872
133_IMG_2971.JPEG	0.829	0.938	1.000	0.820	0.873
133_IMG_2968.JPEG	0.748	0.789	0.820	1.000	0.894
133_IMG_2969.JPEG	0.815	0.872	0.873	0.894	1.000

Table 78: Similarity matrix for identity 136

id_and_image_name	136_IMG_3050.JPEG	136_IMG_3051.JPEG	136_IMG_3054.JPEG	136_IMG_3053.JPEG	136_IMG_3052.JPEG
id_and_image_name
136_IMG_3050.JPEG	1.000	0.902	0.863	0.873	0.900
136_IMG_3051.JPEG	0.902	1.000	0.893	0.880	0.909
136_IMG_3054.JPEG	0.863	0.893	1.000	0.911	0.935
136_IMG_3053.JPEG	0.873	0.880	0.911	1.000	0.918
136_IMG_3052.JPEG	0.900	0.909	0.935	0.918	1.000

Table 79: Similarity matrix for identity 137

id_and_image_name	137_IMG_3019.JPEG	137_IMG_3018.JPEG	137_IMG_3020.JPEG	137_IMG_3021.JPEG	137_IMG_3017.JPEG
id_and_image_name
137_IMG_3019.JPEG	1.000	0.859	0.887	0.811	0.727
137_IMG_3018.JPEG	0.859	1.000	0.859	0.758	0.793
137_IMG_3020.JPEG	0.887	0.859	1.000	0.807	0.778
137_IMG_3021.JPEG	0.811	0.758	0.807	1.000	0.787
137_IMG_3017.JPEG	0.727	0.793	0.778	0.787	1.000

Table 80: Similarity matrix for identity 138

id_and_image_name	138_IMG_3032.JPEG	138_IMG_3033.JPEG	138_IMG_3034.JPEG	138_IMG_3030.JPEG	138_IMG_3031.JPEG
id_and_image_name
138_IMG_3032.JPEG	1.000	0.826	0.770	0.773	0.816
138_IMG_3033.JPEG	0.826	1.000	0.869	0.791	0.882
138_IMG_3034.JPEG	0.770	0.869	1.000	0.777	0.859
138_IMG_3030.JPEG	0.773	0.791	0.777	1.000	0.802
138_IMG_3031.JPEG	0.816	0.882	0.859	0.802	1.000

Table 81: Similarity matrix for identity 140

id_and_image_name	140_IMG_3004.JPEG	140_IMG_3003.JPEG	140_IMG_3006.JPEG	140_IMG_3005.JPEG	140_IMG_3002.JPEG
id_and_image_name
140_IMG_3004.JPEG	1.000	0.973	0.934	0.937	0.917
140_IMG_3003.JPEG	0.973	1.000	0.936	0.933	0.919
140_IMG_3006.JPEG	0.934	0.936	1.000	0.912	0.906
140_IMG_3005.JPEG	0.937	0.933	0.912	1.000	0.918
140_IMG_3002.JPEG	0.917	0.919	0.906	0.918	1.000

Table 82: Similarity matrix for identity 144

id_and_image_name	144_IMG_2900.JPEG	144_IMG_2898.JPEG	144_IMG_2899.JPEG	144_IMG_2897.JPEG	144_IMG_2896.JPEG
id_and_image_name
144_IMG_2900.JPEG	1.000	0.869	0.876	0.849	0.728
144_IMG_2898.JPEG	0.869	1.000	0.797	0.860	0.713
144_IMG_2899.JPEG	0.876	0.797	1.000	0.845	0.696
144_IMG_2897.JPEG	0.849	0.860	0.845	1.000	0.806
144_IMG_2896.JPEG	0.728	0.713	0.696	0.806	1.000

Table 83: Similarity matrix for identity 145

id_and_image_name	145_IMG_3056.JPEG	145_IMG_3059.JPEG	145_IMG_3057.JPEG	145_IMG_3060.JPEG	145_IMG_3058.JPEG
id_and_image_name
145_IMG_3056.JPEG	1.000	0.834	0.881	0.825	0.819
145_IMG_3059.JPEG	0.834	1.000	0.858	0.895	0.817
145_IMG_3057.JPEG	0.881	0.858	1.000	0.868	0.874
145_IMG_3060.JPEG	0.825	0.895	0.868	1.000	0.876
145_IMG_3058.JPEG	0.819	0.817	0.874	0.876	1.000

Table 84: Similarity matrix for identity 146

id_and_image_name	146_IMG_3048.JPEG	146_IMG_3044.JPEG	146_IMG_3043.JPEG	146_IMG_3047.JPEG	146_IMG_3046.JPEG
id_and_image_name
146_IMG_3048.JPEG	1.000	0.718	0.669	0.833	0.745
146_IMG_3044.JPEG	0.718	1.000	0.848	0.759	0.761
146_IMG_3043.JPEG	0.669	0.848	1.000	0.710	0.723
146_IMG_3047.JPEG	0.833	0.759	0.710	1.000	0.782
146_IMG_3046.JPEG	0.745	0.761	0.723	0.782	1.000

Table 85: Similarity matrix for identity 147

id_and_image_name	147_IMG_2933.JPEG	147_IMG_2934.JPEG	147_IMG_2931.JPEG	147_IMG_2935.JPEG	147_IMG_2932.JPEG
id_and_image_name
147_IMG_2933.JPEG	1.000	0.904	0.760	0.848	0.905
147_IMG_2934.JPEG	0.904	1.000	0.864	0.938	0.928
147_IMG_2931.JPEG	0.760	0.864	1.000	0.838	0.847
147_IMG_2935.JPEG	0.848	0.938	0.838	1.000	0.904
147_IMG_2932.JPEG	0.905	0.928	0.847	0.904	1.000

Table 86: Similarity matrix for identity 148

id_and_image_name	148_IMG_2940.JPEG	148_IMG_2938.JPEG	148_IMG_2939.JPEG	148_IMG_2937.JPEG	148_IMG_2941.JPEG
id_and_image_name
148_IMG_2940.JPEG	1.000	0.721	0.869	0.783	0.936
148_IMG_2938.JPEG	0.721	1.000	0.790	0.813	0.741
148_IMG_2939.JPEG	0.869	0.790	1.000	0.833	0.872
148_IMG_2937.JPEG	0.783	0.813	0.833	1.000	0.817
148_IMG_2941.JPEG	0.936	0.741	0.872	0.817	1.000

Table 87: Similarity matrix for identity 149

id_and_image_name	149_IMG_2943.JPEG	149_IMG_2946.JPEG	149_IMG_2947.JPEG	149_IMG_2945.JPEG	149_IMG_2944.JPEG
id_and_image_name
149_IMG_2943.JPEG	1.000	0.900	0.873	0.905	0.830
149_IMG_2946.JPEG	0.900	1.000	0.916	0.909	0.853
149_IMG_2947.JPEG	0.873	0.916	1.000	0.873	0.827
149_IMG_2945.JPEG	0.905	0.909	0.873	1.000	0.795
149_IMG_2944.JPEG	0.830	0.853	0.827	0.795	1.000

Table 88: Similarity matrix for identity 151

id_and_image_name	151_IMG_2922.JPEG	151_IMG_2919.JPEG	151_IMG_2921.JPEG	151_IMG_2923.JPEG	151_IMG_2920.JPEG
id_and_image_name
151_IMG_2922.JPEG	1.000	0.836	0.828	0.807	0.816
151_IMG_2919.JPEG	0.836	1.000	0.825	0.840	0.897
151_IMG_2921.JPEG	0.828	0.825	1.000	0.819	0.821
151_IMG_2923.JPEG	0.807	0.840	0.819	1.000	0.879
151_IMG_2920.JPEG	0.816	0.897	0.821	0.879	1.000

Table 89: Similarity matrix for identity 152

id_and_image_name	152_IMG_2952.JPEG	152_IMG_2949.JPEG	152_IMG_2950.JPEG	152_IMG_2953.JPEG	152_IMG_2951.JPEG
id_and_image_name
152_IMG_2952.JPEG	1.000	0.775	0.908	0.877	0.858
152_IMG_2949.JPEG	0.775	1.000	0.839	0.836	0.869
152_IMG_2950.JPEG	0.908	0.839	1.000	0.929	0.915
152_IMG_2953.JPEG	0.877	0.836	0.929	1.000	0.892
152_IMG_2951.JPEG	0.858	0.869	0.915	0.892	1.000

Table 90: Similarity matrix for identity 153

id_and_image_name	153_IMG_2978.JPEG	153_IMG_2975.JPEG	153_IMG_2977.JPEG	153_IMG_2976.JPEG	153_IMG_2974.JPEG
id_and_image_name
153_IMG_2978.JPEG	1.000	0.874	0.886	0.884	0.882
153_IMG_2975.JPEG	0.874	1.000	0.883	0.913	0.914
153_IMG_2977.JPEG	0.886	0.883	1.000	0.893	0.857
153_IMG_2976.JPEG	0.884	0.913	0.893	1.000	0.907
153_IMG_2974.JPEG	0.882	0.914	0.857	0.907	1.000

Table 91: Similarity matrix for identity 154

id_and_image_name	154_IMG_2983.JPEG	154_IMG_2984.JPEG	154_IMG_2981.JPEG	154_IMG_2982.JPEG	154_IMG_2980.JPEG
id_and_image_name
154_IMG_2983.JPEG	1.000	0.899	0.819	0.876	0.859
154_IMG_2984.JPEG	0.899	1.000	0.881	0.919	0.917
154_IMG_2981.JPEG	0.819	0.881	1.000	0.898	0.906
154_IMG_2982.JPEG	0.876	0.919	0.898	1.000	0.921
154_IMG_2980.JPEG	0.859	0.917	0.906	0.921	1.000

Table 92: Similarity matrix for identity 155

id_and_image_name	155_IMG_2928.JPEG	155_IMG_2926.JPEG	155_IMG_2929.JPEG	155_IMG_2925.JPEG	155_IMG_2927.JPEG
id_and_image_name
155_IMG_2928.JPEG	1.000	0.844	0.853	0.842	0.871
155_IMG_2926.JPEG	0.844	1.000	0.866	0.809	0.823
155_IMG_2929.JPEG	0.853	0.866	1.000	0.802	0.785
155_IMG_2925.JPEG	0.842	0.809	0.802	1.000	0.782
155_IMG_2927.JPEG	0.871	0.823	0.785	0.782	1.000

Table 93: Similarity matrix for identity 157

id_and_image_name	157_IMG_2963.JPEG	157_IMG_2962.JPEG	157_IMG_2965.JPEG	157_IMG_2966.JPEG	157_IMG_2964.JPEG
id_and_image_name
157_IMG_2963.JPEG	1.000	0.891	0.909	0.886	0.884
157_IMG_2962.JPEG	0.891	1.000	0.887	0.895	0.791
157_IMG_2965.JPEG	0.909	0.887	1.000	0.958	0.828
157_IMG_2966.JPEG	0.886	0.895	0.958	1.000	0.798
157_IMG_2964.JPEG	0.884	0.791	0.828	0.798	1.000

Table 94: Similarity matrix for identity 158

id_and_image_name	158_IMG_3353.JPEG	158_IMG_3352.JPEG	158_IMG_3351.JPEG	158_IMG_3354.JPEG	158_IMG_3350.JPEG
id_and_image_name
158_IMG_3353.JPEG	1.000	0.877	0.870	0.870	0.638
158_IMG_3352.JPEG	0.877	1.000	0.913	0.833	0.697
158_IMG_3351.JPEG	0.870	0.913	1.000	0.835	0.667
158_IMG_3354.JPEG	0.870	0.833	0.835	1.000	0.692
158_IMG_3350.JPEG	0.638	0.697	0.667	0.692	1.000

Table 95: Similarity matrix for identity 159

id_and_image_name	159_IMG_3321.JPEG	159_IMG_3322.JPEG	159_IMG_3323.JPEG	159_IMG_3320.JPEG	159_IMG_3319.JPEG
id_and_image_name
159_IMG_3321.JPEG	1.000	0.812	0.765	0.766	0.760
159_IMG_3322.JPEG	0.812	1.000	0.847	0.741	0.681
159_IMG_3323.JPEG	0.765	0.847	1.000	0.777	0.661
159_IMG_3320.JPEG	0.766	0.741	0.777	1.000	0.825
159_IMG_3319.JPEG	0.760	0.681	0.661	0.825	1.000

Table 96: Similarity matrix for identity 160

id_and_image_name	160_IMG_3270.JPEG	160_IMG_3269.JPEG	160_IMG_3273.JPEG	160_IMG_3271.JPEG	160_IMG_3272.JPEG
id_and_image_name
160_IMG_3270.JPEG	1.000	0.873	0.857	0.857	0.825
160_IMG_3269.JPEG	0.873	1.000	0.854	0.892	0.844
160_IMG_3273.JPEG	0.857	0.854	1.000	0.882	0.894
160_IMG_3271.JPEG	0.857	0.892	0.882	1.000	0.877
160_IMG_3272.JPEG	0.825	0.844	0.894	0.877	1.000

Table 97: Similarity matrix for identity 162

id_and_image_name	162_IMG_3301.JPEG	162_IMG_3303.JPEG	162_IMG_3300.JPEG	162_IMG_3302.JPEG	162_IMG_3304.JPEG
id_and_image_name
162_IMG_3301.JPEG	1.000	0.870	0.904	0.852	0.894
162_IMG_3303.JPEG	0.870	1.000	0.823	0.797	0.889
162_IMG_3300.JPEG	0.904	0.823	1.000	0.839	0.844
162_IMG_3302.JPEG	0.852	0.797	0.839	1.000	0.860
162_IMG_3304.JPEG	0.894	0.889	0.844	0.860	1.000

Table 98: Similarity matrix for identity 164

id_and_image_name	164_IMG_3328.JPEG	164_IMG_3327.JPEG	164_IMG_3325.JPEG	164_IMG_3329.JPEG	164_IMG_3326.JPEG
id_and_image_name
164_IMG_3328.JPEG	1.000	0.837	0.702	0.807	0.807
164_IMG_3327.JPEG	0.837	1.000	0.751	0.769	0.796
164_IMG_3325.JPEG	0.702	0.751	1.000	0.682	0.800
164_IMG_3329.JPEG	0.807	0.769	0.682	1.000	0.808
164_IMG_3326.JPEG	0.807	0.796	0.800	0.808	1.000

Table 99: Similarity matrix for identity 165

id_and_image_name	165_IMG_3282.JPEG	165_IMG_3285.JPEG	165_IMG_3281.JPEG	165_IMG_3284.JPEG	165_IMG_3283.JPEG
id_and_image_name
165_IMG_3282.JPEG	1.000	0.773	0.769	0.823	0.864
165_IMG_3285.JPEG	0.773	1.000	0.676	0.804	0.781
165_IMG_3281.JPEG	0.769	0.676	1.000	0.755	0.787
165_IMG_3284.JPEG	0.823	0.804	0.755	1.000	0.868
165_IMG_3283.JPEG	0.864	0.781	0.787	0.868	1.000

Table 100: Similarity matrix for identity 166

id_and_image_name	166_IMG_3275.JPEG	166_IMG_3278.JPEG	166_IMG_3279.JPEG	166_IMG_3276.JPEG	166_IMG_3277.JPEG
id_and_image_name
166_IMG_3275.JPEG	1.000	0.750	0.879	0.877	0.813
166_IMG_3278.JPEG	0.750	1.000	0.796	0.837	0.801
166_IMG_3279.JPEG	0.879	0.796	1.000	0.881	0.817
166_IMG_3276.JPEG	0.877	0.837	0.881	1.000	0.865
166_IMG_3277.JPEG	0.813	0.801	0.817	0.865	1.000

Table 101: Similarity matrix for identity 169

id_and_image_name	169_IMG_3316.JPEG	169_IMG_3313.JPEG	169_IMG_3315.JPEG	169_IMG_3317.JPEG	169_IMG_3314.JPEG
id_and_image_name
169_IMG_3316.JPEG	1.000	0.766	0.811	0.860	0.857
169_IMG_3313.JPEG	0.766	1.000	0.735	0.814	0.774
169_IMG_3315.JPEG	0.811	0.735	1.000	0.755	0.825
169_IMG_3317.JPEG	0.860	0.814	0.755	1.000	0.816
169_IMG_3314.JPEG	0.857	0.774	0.825	0.816	1.000

Table 102: Similarity matrix for identity 171

id_and_image_name	171_IMG_3262.JPEG	171_IMG_3264.JPEG	171_IMG_3266.JPEG	171_IMG_3265.JPEG	171_IMG_3263.JPEG
id_and_image_name
171_IMG_3262.JPEG	1.000	0.881	0.877	0.870	0.827
171_IMG_3264.JPEG	0.881	1.000	0.896	0.873	0.829
171_IMG_3266.JPEG	0.877	0.896	1.000	0.886	0.861
171_IMG_3265.JPEG	0.870	0.873	0.886	1.000	0.859
171_IMG_3263.JPEG	0.827	0.829	0.861	0.859	1.000

Table 103: Similarity matrix for identity 174

id_and_image_name	174_IMG_3290.JPEG	174_IMG_3288.JPEG	174_IMG_3291.JPEG	174_IMG_3287.JPEG	174_IMG_3289.JPEG
id_and_image_name
174_IMG_3290.JPEG	1.000	0.781	0.788	0.690	0.821
174_IMG_3288.JPEG	0.781	1.000	0.818	0.784	0.821
174_IMG_3291.JPEG	0.788	0.818	1.000	0.792	0.831
174_IMG_3287.JPEG	0.690	0.784	0.792	1.000	0.796
174_IMG_3289.JPEG	0.821	0.821	0.831	0.796	1.000

Table 104: Similarity matrix for identity 175

id_and_image_name	175_IMG_3363.JPEG	175_IMG_3366.JPEG	175_IMG_3365.JPEG	175_IMG_3364.JPEG	175_IMG_3362.JPEG
id_and_image_name
175_IMG_3363.JPEG	1.000	0.914	0.908	0.918	0.925
175_IMG_3366.JPEG	0.914	1.000	0.909	0.945	0.924
175_IMG_3365.JPEG	0.908	0.909	1.000	0.906	0.932
175_IMG_3364.JPEG	0.918	0.945	0.906	1.000	0.939
175_IMG_3362.JPEG	0.925	0.924	0.932	0.939	1.000

Table 105: Similarity matrix for identity 176

id_and_image_name	176_IMG_3372.JPEG	176_IMG_3371.JPEG	176_IMG_3369.JPEG	176_IMG_3368.JPEG	176_IMG_3370.JPEG
id_and_image_name
176_IMG_3372.JPEG	1.000	0.927	0.886	0.868	0.884
176_IMG_3371.JPEG	0.927	1.000	0.922	0.900	0.901
176_IMG_3369.JPEG	0.886	0.922	1.000	0.912	0.894
176_IMG_3368.JPEG	0.868	0.900	0.912	1.000	0.912
176_IMG_3370.JPEG	0.884	0.901	0.894	0.912	1.000

Table 106: Similarity matrix for identity 178

id_and_image_name	178_IMG_3383.JPEG	178_IMG_3385.JPEG	178_IMG_3386.JPEG	178_IMG_3384.JPEG	178_IMG_3387.JPEG
id_and_image_name
178_IMG_3383.JPEG	1.000	0.875	0.881	0.761	0.832
178_IMG_3385.JPEG	0.875	1.000	0.842	0.742	0.840
178_IMG_3386.JPEG	0.881	0.842	1.000	0.719	0.809
178_IMG_3384.JPEG	0.761	0.742	0.719	1.000	0.719
178_IMG_3387.JPEG	0.832	0.840	0.809	0.719	1.000

Table 107: Similarity matrix for identity 184

id_and_image_name	184_IMG_2282.JPEG	184_IMG_2284.JPEG	184_IMG_2285.JPEG	184_IMG_2283.JPEG	184_IMG_2281.JPEG
id_and_image_name
184_IMG_2282.JPEG	1.000	0.805	0.852	0.822	0.840
184_IMG_2284.JPEG	0.805	1.000	0.841	0.834	0.791
184_IMG_2285.JPEG	0.852	0.841	1.000	0.829	0.833
184_IMG_2283.JPEG	0.822	0.834	0.829	1.000	0.780
184_IMG_2281.JPEG	0.840	0.791	0.833	0.780	1.000

Table 108: Similarity matrix for identity 185

id_and_image_name	185_IMG_3630.JPEG	185_IMG_3629.JPEG	185_IMG_3628.JPEG	185_IMG_3632.JPEG	185_IMG_3631.JPEG
id_and_image_name
185_IMG_3630.JPEG	1.000	0.834	0.810	0.857	0.888
185_IMG_3629.JPEG	0.834	1.000	0.867	0.834	0.828
185_IMG_3628.JPEG	0.810	0.867	1.000	0.769	0.756
185_IMG_3632.JPEG	0.857	0.834	0.769	1.000	0.870
185_IMG_3631.JPEG	0.888	0.828	0.756	0.870	1.000

Table 109: Similarity matrix for identity 186

id_and_image_name	186_IMG_3644.JPEG	186_IMG_3640.JPEG	186_IMG_3642.JPEG	186_IMG_3643.JPEG	186_IMG_3641.JPEG
id_and_image_name
186_IMG_3644.JPEG	1.000	0.741	0.881	0.882	0.887
186_IMG_3640.JPEG	0.741	1.000	0.762	0.741	0.816
186_IMG_3642.JPEG	0.881	0.762	1.000	0.929	0.901
186_IMG_3643.JPEG	0.882	0.741	0.929	1.000	0.902
186_IMG_3641.JPEG	0.887	0.816	0.901	0.902	1.000

Table 110: Similarity matrix for identity 187

id_and_image_name	187_IMG_3636.JPEG	187_IMG_3637.JPEG	187_IMG_3638.JPEG	187_IMG_3634.JPEG	187_IMG_3635.JPEG
id_and_image_name
187_IMG_3636.JPEG	1.000	0.856	0.858	0.756	0.834
187_IMG_3637.JPEG	0.856	1.000	0.915	0.778	0.904
187_IMG_3638.JPEG	0.858	0.915	1.000	0.816	0.884
187_IMG_3634.JPEG	0.756	0.778	0.816	1.000	0.789
187_IMG_3635.JPEG	0.834	0.904	0.884	0.789	1.000

Table 111: Similarity matrix for identity 188

id_and_image_name	188_IMG_3686.JPEG	188_IMG_3688.JPEG	188_IMG_3687.JPEG	188_IMG_3685.JPEG	188_IMG_3689.JPEG
id_and_image_name
188_IMG_3686.JPEG	1.000	0.805	0.811	0.854	0.824
188_IMG_3688.JPEG	0.805	1.000	0.891	0.882	0.901
188_IMG_3687.JPEG	0.811	0.891	1.000	0.893	0.840
188_IMG_3685.JPEG	0.854	0.882	0.893	1.000	0.852
188_IMG_3689.JPEG	0.824	0.901	0.840	0.852	1.000

Table 112: Similarity matrix for identity 189

id_and_image_name	189_IMG_3677.JPEG	189_IMG_3675.JPEG	189_IMG_3674.JPEG	189_IMG_3676.JPEG	189_IMG_3673.JPEG
id_and_image_name
189_IMG_3677.JPEG	1.000	0.936	0.909	0.950	0.893
189_IMG_3675.JPEG	0.936	1.000	0.925	0.956	0.882
189_IMG_3674.JPEG	0.909	0.925	1.000	0.926	0.926
189_IMG_3676.JPEG	0.950	0.956	0.926	1.000	0.897
189_IMG_3673.JPEG	0.893	0.882	0.926	0.897	1.000

Table 113: Similarity matrix for identity 192

id_and_image_name	192_IMG_3667.JPEG	192_IMG_3671.JPEG	192_IMG_3669.JPEG	192_IMG_3668.JPEG	192_IMG_3670.JPEG
id_and_image_name
192_IMG_3667.JPEG	1.000	0.729	0.794	0.811	0.693
192_IMG_3671.JPEG	0.729	1.000	0.875	0.900	0.883
192_IMG_3669.JPEG	0.794	0.875	1.000	0.881	0.854
192_IMG_3668.JPEG	0.811	0.900	0.881	1.000	0.848
192_IMG_3670.JPEG	0.693	0.883	0.854	0.848	1.000

Table 114: Similarity matrix for identity 193

id_and_image_name	193_IMG_3682.JPEG	193_IMG_3679.JPEG	193_IMG_3680.JPEG	193_IMG_3681.JPEG	193_IMG_3683.JPEG
id_and_image_name
193_IMG_3682.JPEG	1.000	0.832	0.902	0.898	0.912
193_IMG_3679.JPEG	0.832	1.000	0.848	0.829	0.869
193_IMG_3680.JPEG	0.902	0.848	1.000	0.880	0.915
193_IMG_3681.JPEG	0.898	0.829	0.880	1.000	0.901
193_IMG_3683.JPEG	0.912	0.869	0.915	0.901	1.000

Table 115: Similarity matrix for identity 194

id_and_image_name	194_IMG_3692.JPEG	194_IMG_3691.JPEG	194_IMG_3694.JPEG	194_IMG_3695.JPEG	194_IMG_3693.JPEG
id_and_image_name
194_IMG_3692.JPEG	1.000	0.897	0.850	0.883	0.835
194_IMG_3691.JPEG	0.897	1.000	0.853	0.866	0.845
194_IMG_3694.JPEG	0.850	0.853	1.000	0.879	0.919
194_IMG_3695.JPEG	0.883	0.866	0.879	1.000	0.864
194_IMG_3693.JPEG	0.835	0.845	0.919	0.864	1.000

Table 116: Similarity matrix for identity 196

id_and_image_name	196_IMG_3653.JPEG	196_IMG_3651.JPEG	196_IMG_3652.JPEG	196_IMG_3655.JPEG	196_IMG_3654.JPEG
id_and_image_name
196_IMG_3653.JPEG	1.000	0.837	0.876	0.695	0.755
196_IMG_3651.JPEG	0.837	1.000	0.858	0.831	0.811
196_IMG_3652.JPEG	0.876	0.858	1.000	0.746	0.794
196_IMG_3655.JPEG	0.695	0.831	0.746	1.000	0.683
196_IMG_3654.JPEG	0.755	0.811	0.794	0.683	1.000

Table 117: Similarity matrix for identity 197

id_and_image_name	197_IMG_3605.JPEG	197_IMG_3604.JPEG	197_IMG_3606.JPEG	197_IMG_3607.JPEG	197_IMG_3608.JPEG
id_and_image_name
197_IMG_3605.JPEG	1.000	0.804	0.899	0.863	0.289
197_IMG_3604.JPEG	0.804	1.000	0.807	0.852	0.254
197_IMG_3606.JPEG	0.899	0.807	1.000	0.871	0.238
197_IMG_3607.JPEG	0.863	0.852	0.871	1.000	0.223
197_IMG_3608.JPEG	0.289	0.254	0.238	0.223	1.000

Table 118: Similarity matrix for identity 199

id_and_image_name	199_IMG_3595.JPEG	199_IMG_3592.JPEG	199_IMG_3591.JPEG	199_IMG_3594.JPEG	199_IMG_3593.JPEG
id_and_image_name
199_IMG_3595.JPEG	1.000	0.738	0.690	0.742	0.706
199_IMG_3592.JPEG	0.738	1.000	0.885	0.874	0.953
199_IMG_3591.JPEG	0.690	0.885	1.000	0.829	0.875
199_IMG_3594.JPEG	0.742	0.874	0.829	1.000	0.866
199_IMG_3593.JPEG	0.706	0.953	0.875	0.866	1.000

Table 119: Similarity matrix for identity 202

id_and_image_name	202_IMG_3618.JPEG	202_IMG_3617.JPEG	202_IMG_3616.JPEG	202_IMG_3615.JPEG	202_IMG_3619.JPEG
id_and_image_name
202_IMG_3618.JPEG	1.000	0.796	0.573	0.266	0.663
202_IMG_3617.JPEG	0.796	1.000	0.664	0.251	0.589
202_IMG_3616.JPEG	0.573	0.664	1.000	0.471	0.465
202_IMG_3615.JPEG	0.266	0.251	0.471	1.000	0.277
202_IMG_3619.JPEG	0.663	0.589	0.465	0.277	1.000

Table 120: Similarity matrix for identity 203

id_and_image_name	203_IMG_3701.JPEG	203_IMG_3703.JPEG	203_IMG_3700.JPEG	203_IMG_3702.JPEG	203_IMG_3704.JPEG
id_and_image_name
203_IMG_3701.JPEG	1.000	0.800	0.871	0.884	0.785
203_IMG_3703.JPEG	0.800	1.000	0.767	0.795	0.847
203_IMG_3700.JPEG	0.871	0.767	1.000	0.867	0.749
203_IMG_3702.JPEG	0.884	0.795	0.867	1.000	0.816
203_IMG_3704.JPEG	0.785	0.847	0.749	0.816	1.000

Table 121: Similarity matrix for identity 204

id_and_image_name	204_IMG_3711.JPEG	204_IMG_3712.JPEG	204_IMG_3710.JPEG	204_IMG_3709.JPEG	204_IMG_3713.JPEG
id_and_image_name
204_IMG_3711.JPEG	1.000	0.827	0.913	0.921	0.838
204_IMG_3712.JPEG	0.827	1.000	0.826	0.831	0.831
204_IMG_3710.JPEG	0.913	0.826	1.000	0.908	0.820
204_IMG_3709.JPEG	0.921	0.831	0.908	1.000	0.818
204_IMG_3713.JPEG	0.838	0.831	0.820	0.818	1.000

Table 122: Similarity matrix for identity 205

id_and_image_name	205_IMG_3579.JPEG	205_IMG_3581.JPEG	205_IMG_3577.JPEG	205_IMG_3580.JPEG	205_IMG_3578.JPEG
id_and_image_name
205_IMG_3579.JPEG	1.000	0.856	0.761	0.858	0.873
205_IMG_3581.JPEG	0.856	1.000	0.770	0.886	0.841
205_IMG_3577.JPEG	0.761	0.770	1.000	0.759	0.838
205_IMG_3580.JPEG	0.858	0.886	0.759	1.000	0.871
205_IMG_3578.JPEG	0.873	0.841	0.838	0.871	1.000