image
imagewidth (px)
45
4.37k
class
stringclasses
16 values
id
stringlengths
11
16
organism, being
n00004475_54295
organism, being
n00004475_41022
organism, being
n00004475_6590
organism, being
n00004475_35466
organism, being
n00004475_39382
organism, being
n00004475_32312
organism, being
n00004475_15899
organism, being
n00004475_42770
benthos
n00005787_8519
benthos
n00005787_8090
benthos
n00005787_11666
benthos
n00005787_3296
benthos
n00005787_2925
benthos
n00005787_1318
benthos
n00005787_11220
benthos
n00005787_9674
benthos
n00005787_14527
benthos
n00005787_1257
benthos
n00005787_909
benthos
n00005787_5515
benthos
n00005787_7386
benthos
n00005787_951
benthos
n00005787_8784
benthos
n00005787_14354
benthos
n00005787_3498
benthos
n00005787_8389
benthos
n00005787_5585
benthos
n00005787_4337
benthos
n00005787_12631
benthos
n00005787_382
benthos
n00005787_7166
benthos
n00005787_2478
benthos
n00005787_14921
benthos
n00005787_3833
benthos
n00005787_13420
benthos
n00005787_10877
benthos
n00005787_9333
benthos
n00005787_13774
benthos
n00005787_13218
benthos
n00005787_13083
benthos
n00005787_5851
benthos
n00005787_2960
benthos
n00005787_4556
benthos
n00005787_7864
benthos
n00005787_7673
benthos
n00005787_13496
benthos
n00005787_10760
benthos
n00005787_14503
benthos
n00005787_5367
benthos
n00005787_2237
benthos
n00005787_2551
benthos
n00005787_10011
benthos
n00005787_3979
benthos
n00005787_3943
benthos
n00005787_7567
benthos
n00005787_5267
benthos
n00005787_3384
benthos
n00005787_885
benthos
n00005787_3750
benthos
n00005787_13413
benthos
n00005787_12823
benthos
n00005787_7298
benthos
n00005787_6372
benthos
n00005787_5865
benthos
n00005787_8504
benthos
n00005787_1739
benthos
n00005787_7370
benthos
n00005787_6830
benthos
n00005787_12408
benthos
n00005787_457
benthos
n00005787_7801
benthos
n00005787_14044
benthos
n00005787_3874
benthos
n00005787_236
benthos
n00005787_7287
benthos
n00005787_2404
benthos
n00005787_14237
benthos
n00005787_10703
benthos
n00005787_2718
benthos
n00005787_4101
benthos
n00005787_11955
benthos
n00005787_7359
benthos
n00005787_6652
benthos
n00005787_4506
benthos
n00005787_4239
benthos
n00005787_5070
benthos
n00005787_5398
benthos
n00005787_13
benthos
n00005787_8061
benthos
n00005787_2553
benthos
n00005787_8735
benthos
n00005787_10944
benthos
n00005787_4585
benthos
n00005787_9885
benthos
n00005787_3169
benthos
n00005787_1408
benthos
n00005787_13108
benthos
n00005787_13639
benthos
n00005787_15093
benthos
n00005787_12029

This dataset is the entire 21K ImageNet dataset with about 13 million examples and about 19 thousand classes as strings (for some reason it only had ~19K classes instead of 21K).

The images are in PNG format. They can be decoded like in the following example

import io
from PIL import Image
Image.open(io.BytesIO(row["image"]))

where row["image"] are the raw image bytes.

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