Search is not available for this dataset
img_batch listlengths 64 64 | label_batch sequencelengths 64 64 | width int64 500 500 | height int64 375 375 |
|---|---|---|---|
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [13,939,6,219,192,372,99,907,718,914,840,304,940,853,805,104,941,670,888,782,245,690,130,303,799,927(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [716,351,919,544,709,816,251,241,792,96,463,318,876,345,573,315,658,888,822,39,387,722,271,295,23,95(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [976,57,414,937,750,230,278,381,281,648,298,523,997,257,533,555,379,873,6,304,694,544,237,341,587,30(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [973,415,396,399,14,884,642,321,236,184,338,12,605,752,952,734,737,936,623,721,179,508,707,102,838,8(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [374,279,331,808,242,254,675,787,822,295,90,394,123,510,791,108,684,823,849,540,830,301,473,408,709,(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [938,642,237,87,527,314,460,569,358,766,417,874,665,508,259,475,779,489,890,396,39,355,34,875,934,52(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [803,393,919,227,531,372,346,261,412,115,410,486,541,435,450,209,133,382,276,511,764,25,143,940,934,(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [374,945,7,229,936,830,977,54,4,306,511,800,123,780,312,385,761,315,780,98,343,368,717,191,726,412,2(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [417,880,416,23,12,283,110,628,88,955,846,475,135,23,420,59,476,125,765,817,723,267,219,673,464,943,(...TRUNCATED) | 500 | 375 |
[{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsI(...TRUNCATED) | [866,33,313,388,113,734,51,944,306,963,246,191,658,763,61,673,640,349,258,941,599,880,938,929,926,43(...TRUNCATED) | 500 | 375 |
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Dataset Card for "imagenet_batched_64"
Subset of ImageNet-1k batched by image size
from datasets import load_dataset
import PIL.Image as Image
import io
dataset = load_dataset("danjacobellis/imagenet_batched_64")
img_batch = dataset['train'][0]['img_batch']
img = Image.open(io.BytesIO(img_batch[0]['bytes']))
img
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