Datasets:

vtsouval
/

utkface-cropped

age int32	gender class label	race class label	label class label
18	1female	1Black	316–20
26	0male	3Indian	421–30
90	1female	0White	1081+
31	1female	0White	531–40
32	0male	0White	531–40
80	1female	0White	971–80
50	0male	2Asian	641–50
34	1female	1Black	531–40
12	1female	0White	211–15
78	0male	1Black	971–80
53	1female	3Indian	751–60
35	0male	0White	531–40
25	1female	3Indian	421–30
22	1female	0White	421–30
51	0male	1Black	751–60
28	1female	2Asian	421–30
56	1female	3Indian	751–60
28	0male	1Black	421–30
27	0male	3Indian	421–30
32	0male	3Indian	531–40
23	0male	4Others	421–30
2	0male	3Indian	00–5
24	1female	0White	421–30
52	0male	3Indian	751–60
54	0male	0White	751–60
27	0male	1Black	421–30
25	1female	0White	421–30
7	0male	3Indian	16–10
4	1female	0White	00–5
27	1female	4Others	421–30
28	0male	3Indian	421–30
2	1female	2Asian	00–5
75	1female	0White	971–80
26	1female	1Black	421–30
45	0male	0White	641–50
26	0male	1Black	421–30
1	0male	3Indian	00–5
25	1female	4Others	421–30
29	0male	3Indian	421–30
63	1female	0White	861–70
45	0male	0White	641–50
35	0male	2Asian	531–40
26	0male	0White	421–30
18	1female	1Black	316–20
1	0male	2Asian	00–5
36	0male	1Black	531–40
72	1female	0White	971–80
46	1female	1Black	641–50
36	1female	0White	531–40
24	1female	4Others	421–30
61	0male	3Indian	861–70
55	0male	0White	751–60
36	0male	0White	531–40
28	0male	0White	421–30
16	1female	0White	316–20
51	0male	1Black	751–60
16	1female	0White	316–20
21	1female	3Indian	421–30
54	0male	3Indian	751–60
26	1female	0White	421–30
40	1female	0White	531–40
3	0male	0White	00–5
56	0male	3Indian	751–60
7	1female	2Asian	16–10
25	1female	1Black	421–30
20	1female	4Others	316–20
31	1female	4Others	531–40
38	1female	1Black	531–40
26	1female	4Others	421–30
26	0male	3Indian	421–30
68	0male	2Asian	861–70
59	1female	1Black	751–60
24	1female	2Asian	421–30
40	0male	0White	531–40
32	0male	1Black	531–40
26	0male	3Indian	421–30
39	1female	0White	531–40
28	0male	1Black	421–30
27	0male	0White	421–30
35	0male	0White	531–40
60	0male	0White	751–60
1	0male	0White	00–5
2	1female	2Asian	00–5
30	1female	2Asian	421–30
34	0male	2Asian	531–40
31	1female	1Black	531–40
1	1female	0White	00–5
4	1female	2Asian	00–5
38	1female	0White	531–40
40	1female	0White	531–40
70	0male	0White	861–70
35	1female	4Others	531–40
30	0male	0White	421–30
50	0male	3Indian	641–50
60	0male	0White	751–60
23	1female	0White	421–30
40	0male	0White	531–40
65	1female	1Black	861–70
35	1female	0White	531–40
26	0male	2Asian	421–30

End of preview. Expand in Data Studio

Single-split cleaned UTKFace-Cropped. Filenames parsed into age, gender, race; ages binned into 11 classes. Images verified to open; invalid or malformed filenames removed.

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Size of downloaded dataset files:

116 MB

Size of the auto-converted Parquet files:

116 MB

Number of rows:

23,704