id
int64
73
52.5k
gender
stringclasses
3 values
race
stringclasses
5 values
lang
stringclasses
52 values
age
stringclasses
10 values
filesize
float64
2.7
1.59k
width
int64
608
3.84k
height
int64
720
2.16k
length
float64
9.2
179
fps
float64
10
60
48,107
male
asian
tl
30-39
11.3
1,920
1,080
38.1
30
48,108
male
asian
tl
30-39
38.1
1,920
1,080
81.63
30
48,109
male
asian
tl
30-39
85.3
1,920
1,080
150.43
30
48,110
male
asian
tl
20-29
27.8
1,920
1,080
44.88
25
48,111
male
asian
tl
20-29
32.9
1,920
1,080
39
25
48,112
male
asian
tl
20-29
50.7
1,920
1,080
63.36
25
48,115
female
asian
en
20-29
57.8
1,920
1,080
69.84
25
48,116
female
asian
en
20-29
24.8
1,920
1,080
40.56
25
48,117
male
asian
en
20-29
34.6
3,840
2,160
38.5
24
48,118
male
asian
en
20-29
26.9
3,840
2,160
26.61
24
48,119
male
asian
en
20-29
19.9
3,840
2,160
21.6
24
48,120
male
asian
en
20-29
92.8
3,840
2,160
98.81
24
48,121
male
asian
en
20-29
102
3,840
2,160
91.47
24
48,122
male
asian
en
20-29
107.6
3,840
2,160
107.94
24
48,123
male
asian
en
20-29
31.8
3,840
2,160
34.99
24
48,124
male
asian
tl
20-29
20.8
1,920
1,080
56.93
30
48,125
male
white
en
40-49
24
3,840
2,160
23.42
24
48,126
male
white
en
40-49
46.9
3,840
2,160
43.54
24
48,127
male
white
en
40-49
52
3,840
2,160
46.42
24
48,128
female
asian
en
10-19
86.6
1,920
1,080
171.3
30
48,129
male
asian
tl
30-39
25.1
1,920
1,080
44.57
30
48,130
male
asian
tl
30-39
32.8
1,920
1,080
71.7
30
48,131
male
asian
tl
30-39
15.6
1,920
1,080
31.2
30
48,132
male
asian
tl
30-39
17.8
1,920
1,080
35.67
30
48,133
male
asian
tl
30-39
21.3
1,920
1,080
35.7
30
48,134
male
white
en
50-59
25.4
1,920
1,080
130.38
24
48,135
female
asian
tl
20-29
63
3,840
2,160
43.42
60
48,136
female
asian
tl
20-29
56.2
3,840
2,160
38.17
60
48,137
male
asian
tl
20-29
24.4
1,920
1,080
34.5
30
48,138
male
asian
tl
20-29
26.4
1,920
1,080
75.5
12
48,139
female
asian
tl
20-29
87.8
1,920
1,080
74.53
30
48,140
female
asian
tl
20-29
38.6
1,920
1,080
41.97
30
48,141
female
asian
tl
20-29
38.1
1,920
1,080
43.72
60
48,142
female
asian
tl
20-29
38.4
1,920
1,080
38.27
60
48,143
male
asian
tl
20-29
23
1,906
1,080
28.47
30
48,144
male
asian
tl
20-29
56.4
1,906
1,080
72.13
30
48,145
male
asian
tl
10-19
11.4
1,920
1,080
43.74
30
48,146
male
asian
tl
10-19
11.5
1,920
1,080
39.54
30
48,147
male
white
en
20-29
55.1
3,840
2,160
35.87
30
48,148
male
white
en
20-29
45.3
3,840
2,160
27.89
30
48,149
female
asian
en
30-39
24.6
1,920
1,080
39.87
60
48,150
male
asian
tl
30-39
19.2
1,920
1,080
48.83
30
48,151
female
asian
tl
20-29
20.3
1,920
1,080
34.92
25
48,152
female
asian
tl
20-29
37.6
1,920
1,080
46.32
25
48,153
female
asian
tl
30-39
27.7
1,920
1,080
40.5
30
48,154
female
asian
tl
20-29
73.5
1,920
1,080
110.4
30
48,155
female
asian
tl
20-29
69.9
1,920
1,080
96.63
30
48,156
female
asian
tl
20-29
28
1,920
1,080
36.83
30
48,157
female
asian
tl
20-29
41.9
1,920
1,080
61.63
30
48,158
female
asian
tl
20-29
22.9
1,920
1,080
35.5
30
48,159
female
asian
tl
20-29
31.5
1,920
1,080
47.23
30
48,160
male
white
en
50-59
7.8
1,920
1,080
28.43
30
48,161
male
white
en
50-59
6.5
1,920
1,080
25.23
30
48,162
male
white
en
50-59
30.4
1,920
1,080
111.47
30
48,163
male
white
en
40-49
66.8
3,840
2,160
52.93
24
48,164
male
white
en
40-49
44.6
3,840
2,160
35.41
24
48,165
female
asian
tl
20-29
62.7
1,920
1,080
54.13
30
48,166
female
black
tl
30-39
27.5
1,920
1,080
32.1
30
48,167
male
white
en
30-39
142
3,840
2,160
115.62
30
48,168
male
white
en
30-39
127.7
3,840
2,160
110.01
30
48,172
male
asian
tl
20-29
11.9
1,920
1,080
21.3
60
48,173
female
asian
tl
20-29
20.5
1,920
1,080
59.07
30
48,174
female
asian
tl
20-29
42.1
1,920
1,080
124.03
30
48,175
female
asian
tl
20-29
24.3
1,920
1,080
71.63
30
48,176
male
asian
tl
20-29
14.5
1,920
1,080
52.72
24
48,177
male
white
tl
20-29
32
1,920
1,080
33.83
30
48,178
female
asian
en
20-29
83.2
1,920
1,080
143.34
30
48,179
male
white
en
40-49
45.9
3,840
2,160
34.13
30
48,180
female
asian
tl
40-49
42.8
3,840
2,160
37.2
24
48,181
female
asian
tl
40-49
264.3
3,840
2,160
178.6
24
48,182
female
asian
tl
40-49
69.5
3,840
2,160
58.27
24
48,183
female
asian
tl
40-49
65.2
3,840
2,160
48.67
24
48,184
female
asian
tl
40-49
59.5
3,840
2,160
51.89
24
48,185
female
asian
en
10-19
43
1,920
1,080
84.87
30
48,186
female
asian
en
10-19
15.4
1,920
1,080
32
30
48,187
female
asian
en
10-19
21.3
1,920
1,080
46.83
30
48,188
female
asian
en
10-19
20.2
1,920
1,080
49.83
30
48,189
female
asian
en
10-19
15.8
1,920
1,080
35.23
30
48,190
female
asian
en
10-19
39.9
1,920
1,080
87.3
30
48,191
female
asian
en
10-19
11.2
1,920
1,080
27.79
24
48,192
male
asian
tl
10-19
12.9
1,920
1,080
30.43
30
48,193
male
asian
tl
10-19
23.5
1,920
1,080
64.23
30
48,194
female
asian
tl
20-29
5.9
1,846
1,080
20.83
30
48,195
male
asian
tl
20-29
20.9
1,920
1,080
39.54
30
48,196
male
asian
tl
20-29
30.6
1,920
1,080
60.56
30
48,197
male
asian
tl
30-39
9.3
1,920
1,080
31.5
30
48,198
male
asian
tl
30-39
58.9
1,920
1,080
132.17
30
48,199
male
asian
tl
30-39
55.5
1,920
1,080
122.23
30
48,200
male
asian
tl
30-39
39.8
1,920
1,080
89.63
30
48,201
male
asian
tl
30-39
72.9
1,920
1,080
160.33
30
48,202
male
asian
tl
30-39
21.7
1,920
1,080
41.3
30
48,203
male
asian
tl
30-39
11.7
1,920
1,080
21.27
30
48,204
male
asian
tl
30-39
10.6
1,920
1,080
31.27
30
48,205
male
asian
tl
30-39
56.8
1,920
1,080
138
30
48,206
female
asian
sk
20-29
11.3
1,920
1,080
22.17
30
48,207
female
asian
sk
20-29
18.6
1,920
1,080
30.73
30
48,208
female
asian
sk
20-29
16.7
1,920
1,080
27.1
30
48,209
female
asian
sk
20-29
13.9
1,920
1,080
23.9
30
48,210
female
asian
sk
20-29
14.1
1,920
1,080
27.4
30
48,211
female
asian
sk
20-29
18.2
1,920
1,080
30.47
30