datasets
Collection
6 items
•
Updated
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 |
NOTE: I have recaptioned all images here
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.