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UTKFace/82_0_2_20170111210110290
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UTKFace/32_1_2_20170116180211518
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UTKFace/21_0_4_20170103225103768
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UTKFace/27_1_2_20170116171716287
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UTKFace/26_0_4_20170117153355923
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UTKFace/26_1_0_20170116231512359
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UTKFace/54_0_3_20170119211308521
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UTKFace/25_1_1_20170112235005249
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UTKFace/4_1_2_20161219211452533
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UTKFace/16_0_0_20170110232647979
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UTKFace/26_1_0_20170119192623081
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UTKFace/26_1_1_20170116170028717
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UTKFace/26_1_2_20170116180214166
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UTKFace/28_0_4_20170116220531686
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UTKFace/29_1_4_20170103230245713
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UTKFace/40_0_0_20170104204609691
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UTKFace/26_1_1_20170116160930991
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UTKFace/26_1_3_20170117153712926
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UTKFace/30_1_4_20170103183855083
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UTKFace/26_0_2_20170116175433114
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UTKFace/8_1_0_20170109204954253
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UTKFace/27_0_2_20161219192534211
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UTKFace/60_1_0_20170110140900329
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UTKFace/56_0_0_20170120223014338
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UTKFace/35_1_2_20170116164727094
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UTKFace/29_1_2_20170116164927601
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UTKFace/66_1_0_20170110123225778
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UTKFace/1_0_0_20170110212759695
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UTKFace/22_1_3_20170119162924172
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UTKFace/25_1_0_20170117152038451
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UTKFace/27_0_2_20170116184844591
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UTKFace/6_1_2_20161219192421499
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UTKFace/39_1_0_20170104185134518
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UTKFace/3_1_2_20161219155614821
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UTKFace/26_0_1_20170112210717501
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UTKFace/35_0_0_20170117134947221
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UTKFace/26_1_1_20170113012119680
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UTKFace/79_0_0_20170111205953011
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UTKFace/49_0_0_20170104205331460
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UTKFace/35_1_1_20170117183053534
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UTKFace/14_1_0_20170109205344937
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UTKFace/10_1_0_20170109205141310
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UTKFace/22_1_1_20170113010348670
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UTKFace/34_0_1_20170113181625781
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UTKFace/29_1_0_20170103163303377
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UTKFace/60_0_0_20170120221103380
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UTKFace/21_1_2_20170105002530429
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UTKFace/4_0_0_20170110213441609
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UTKFace/12_1_3_20170104223448631
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UTKFace/23_1_3_20170104222844871
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UTKFace/51_0_1_20170117173705235
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UTKFace/42_0_0_20170109003533896
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UTKFace/27_0_3_20170104225852088
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UTKFace/21_1_3_20170104222056815
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UTKFace/31_1_1_20170117171933533
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UTKFace/20_0_0_20170110231653536
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UTKFace/26_1_0_20170117174933551
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UTKFace/26_1_4_20170103225002166
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UTKFace/22_0_2_20170116162917882
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UTKFace/35_1_0_20170117174927240
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UTKFace/1_0_3_20161219225808112
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UTKFace/26_1_1_20170112205853539
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UTKFace/2_1_1_20170109190720964
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UTKFace/47_1_0_20170103183432930
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UTKFace/25_1_2_20161219194224315
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UTKFace/1_0_3_20161219230250136
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UTKFace/28_0_3_20170119194817585
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UTKFace/5_0_0_20170109192353674
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UTKFace/45_0_0_20170117183156790
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UTKFace/85_1_0_20170110182138154
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UTKFace/60_1_0_20170110143543095
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UTKFace/26_1_0_20170117152609260
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UTKFace/35_1_0_20170103182348593
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UTKFace/15_0_3_20170104225537649
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UTKFace/43_1_0_20170109010025945
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UTKFace/22_1_4_20170103223330567
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UTKFace/32_0_0_20170117173203012
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UTKFace/45_0_0_20170120220633050
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UTKFace/2_1_2_20161219162736198
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UTKFace/20_1_0_20170113005610158
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UTKFace/15_0_0_20170110232452356
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UTKFace/45_0_3_20170119171404704
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UTKFace/57_0_4_20170105171850037
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UTKFace/18_1_2_20170103223049176
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UTKFace/16_0_0_20170110232259630
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UTKFace/23_1_1_20170114033456731
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UTKFace/44_0_0_20170117155532055
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UTKFace/26_1_2_20170116163914678
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UTKFace/29_0_0_20170117120414669
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UTKFace/56_1_0_20170110122655288
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UTKFace/29_0_1_20170117095814736
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UTKFace/40_0_3_20170117154652454
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UTKFace/52_0_4_20170104184746311
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UTKFace/2_1_2_20161219141047001
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UTKFace/30_1_0_20170117143857490
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UTKFace/24_1_2_20170116171657075
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UTKFace/27_1_1_20170116000504802
hf://datasets/py97/UTKFace-Cropped@e80f21fb21fa3631380c3cb634b79be3ac2f4cba/UTKFace.tar.gz
UTKFace/39_1_0_20170103184109643
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UTKFace/24_1_3_20170104223049680
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UTKFace/72_1_2_20170110181718497
hf://datasets/py97/UTKFace-Cropped@e80f21fb21fa3631380c3cb634b79be3ac2f4cba/UTKFace.tar.gz

UTKFace Aligned & Cropped Faces Dataset

Disclaimer: I do not own or manage this dataset. It is sourced from the paper Age Progression/Regression by Conditional Adversarial Autoencoder by Zhang et al., published in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017).

The original link to the aligned and cropped faces version of UTKFace is no longer available. To ensure its accessibility for other users, I have uploaded it to this repository.

For more information, please refer to the following links:

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