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{ "bbox": [ [ 250, 119, 6, 10 ], [ 139, 114, 11, 15 ], [ 2, 0, 596, 136 ], [ 124, 300, 172, 163 ], [ 331, 105, 207, 325 ], [ 267, 90, 31...
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{ "bbox": [ [ 396, 565, 114, 125 ], [ 259, 456, 22, 3 ], [ 74, 360, 161, 241 ], [ 84, 1, 77, 5 ], [ 0, 1, 51, 334 ], [ 189, 0, 320, ...
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{ "bbox": [ [ 0, 0, 255, 170 ], [ 0, 161, 255, 81 ], [ 0, 235, 254, 20 ] ], "categories": [ 2, 4, 13 ], "category_names": [ "sky", "tree", "earth" ] }
[ { "label": "sky", "category": 2, "points": [ [ 0, 0 ], [ 0, 169 ], [ 6, 170 ], [ 7, 166 ], [ 15, 167 ], [ 16, 159 ], [ 25,...
{ "bbox": [ [ 2, 1, 253, 112 ], [ 42, 153, 18, 27 ], [ 223, 88, 32, 13 ], [ 0, 196, 80, 59 ], [ 2, 148, 253, 107 ], [ 2, 87, 253, ...
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{ "bbox": [ [ 64, 175, 30, 9 ], [ 0, 0, 299, 223 ], [ 3, 218, 24, 6 ], [ 108, 0, 191, 54 ], [ 23, 142, 276, 82 ], [ 258, 58, 21, 8...
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{ "bbox": [ [ 41, 322, 28, 14 ], [ 487, 300, 118, 50 ], [ 610, 299, 24, 41 ], [ 638, 297, 13, 6 ], [ 657, 295, 25, 37 ], [ 239, 289, 24,...
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{ "bbox": [ [ 0, 20, 303, 423 ], [ 0, 0, 304, 213 ], [ 66, 350, 238, 94 ] ], "categories": [ 1, 2, 4 ], "category_names": [ "building", "sky", "tree" ] }
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{ "bbox": [ [ 1, 1, 508, 294 ], [ 6, 405, 281, 3 ], [ 259, 362, 25, 38 ], [ 85, 269, 424, 138 ], [ 151, 249, 2, 21 ], [ 2, 229, 284, ...
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[ { "label": "wall", "category": 0, "points": [ [ 100, 57 ], [ 103, 468 ], [ 104, 477 ], [ 110, 477 ], [ 106, 59 ] ] }, { "label": "wall", "category":...
{ "bbox": [ [ 125, 17, 17, 6 ], [ 0, 13, 355, 241 ], [ 354, 0, 2, 23 ], [ 178, 0, 130, 24 ], [ 153, 0, 26, 15 ], [ 105, 0, 38, 16 ...
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{ "bbox": [ [ 109, 148, 60, 77 ], [ 184, 139, 53, 114 ], [ 2, 1, 253, 224 ], [ 2, 88, 253, 167 ], [ 23, 8, 89, 216 ] ], "categories": [ 1, 1, ...
[ { "label": "building", "category": 1, "points": [ [ 111, 149 ], [ 109, 193 ], [ 124, 198 ], [ 118, 212 ], [ 112, 218 ], [ 112, 222 ], ...
{ "bbox": [ [ 378, 297, 132, 130 ], [ 0, 0, 510, 327 ], [ 0, 1, 489, 529 ], [ 1, 410, 306, 268 ], [ 320, 409, 190, 270 ], [ 185, 408, 50...
[ { "label": "building", "category": 1, "points": [ [ 510, 297 ], [ 433, 328 ], [ 434, 332 ], [ 423, 343 ], [ 408, 347 ], [ 404, 354 ], ...
{ "bbox": [ [ 385, 136, 13, 55 ], [ 0, 0, 397, 152 ], [ 255, 191, 143, 74 ], [ 229, 1, 150, 23 ], [ 125, 84, 54, 49 ], [ 87, 72, 34, ...
[ { "label": "wall", "category": 0, "points": [ [ 398, 136 ], [ 398, 159 ], [ 385, 166 ], [ 385, 190 ], [ 398, 191 ] ] }, { "label": "wall", "category...
{ "bbox": [ [ 340, 259, 22, 11 ], [ 275, 171, 53, 95 ], [ 1, 0, 509, 324 ], [ 0, 254, 440, 237 ], [ 364, 232, 14, 14 ], [ 88, 97, 304, ...
[ { "label": "sky", "category": 2, "points": [ [ 340, 259 ], [ 352, 270 ], [ 362, 259 ], [ 349, 263 ] ] }, { "label": "sky", "category": 2, "points": [ [ 281, ...
{ "bbox": [ [ 195, 0, 235, 66 ], [ 253, 31, 85, 34 ], [ 0, 0, 207, 181 ], [ 0, 167, 430, 100 ], [ 336, 181, 25, 13 ], [ 48, 18, 381, ...
[ { "label": "sky", "category": 2, "points": [ [ 195, 1 ], [ 195, 5 ], [ 206, 15 ], [ 204, 20 ], [ 209, 22 ], [ 219, 17 ], [ ...
{ "bbox": [ [ 140, 383, 13, 9 ], [ 473, 368, 29, 21 ], [ 425, 361, 7, 12 ], [ 624, 205, 57, 80 ], [ 614, 97, 67, 120 ], [ 0, 0, 613, ...
[ { "label": "building", "category": 1, "points": [ [ 153, 390 ], [ 148, 383 ], [ 140, 390 ], [ 140, 392 ], [ 153, 392 ] ] }, { "label": "building", "...
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ADE-20K

22,207 images and 396,285 annotations across 150 classes, annotated as polygon.

View on Pictograph · Pictograph Research · Custom License

About

ADE-20K is a computer-vision dataset curated and annotated on Pictograph. On Pictograph you can browse every annotated image, fork it into your own workspace in one click, export it in a dozen formats, or train a model on it directly.

At a glance

Metric Value
Images 22,207
Annotations 396,285
Classes 150
Annotation types polygon
Splits train

Dataset structure

This dataset uses the Hugging Face imagefolder layout: each split directory holds the images plus a metadata.jsonl that links every image to its annotations by file_name.

Field Description
file_name Path to the image within the split directory.
objects.bbox Bounding boxes as [x, y, width, height] (pixels).
objects.categories Integer class index per box (matches the class list below).
objects.category_names Human class name per box.
segmentation Polygon rings as [[x, y], ...] with class label.

Use it

from datasets import load_dataset

ds = load_dataset("pictograph/ade-20k")
print(ds)

Prefer a full annotation editor, one-click fork, multi-format export, and one-click training? Open this dataset on Pictograph.

Classes

Class index matches objects.categories in metadata.jsonl.

All 150 classes, in index order: wall, building, sky, floor, tree, ceiling, road, bed, windowpane, grass, cabinet, sidewalk, person, earth, door, table, mountain, plant, curtain, chair, car, water, painting, sofa, shelf, house, sea, mirror, rug, field, armchair, seat, fence, desk, rock, wardrobe, lamp, bathtub, railing, cushion, base, box, column, signboard, chest_of_drawers, counter, sand, sink, skyscraper, fireplace, refrigerator, grandstand, path, stairs, runway, case, pool_table, pillow, screen_door, stairway, river, bridge, bookcase, blind, coffee_table, toilet, flower, book, hill, bench, countertop, stove, palm, kitchen_island, computer, swivel_chair, boat, bar, arcade_machine, hovel, bus, towel, light, truck, tower, chandelier, awning, streetlight, booth, television_receiver, airplane, dirt_track, apparel, pole, land, bannister, escalator, ottoman, bottle, buffet, poster, stage, van, ship, fountain, conveyer_belt, canopy, washer, plaything, swimming_pool, stool, barrel, basket, waterfall, tent, bag, minibike, cradle, oven, ball, food, step, tank, trade_name, microwave, pot, animal, bicycle, lake, dishwasher, screen, blanket, sculpture, hood, sconce, vase, traffic_light, tray, ashcan, fan, pier, crt_screen, plate, monitor, bulletin_board, shower, radiator, glass, clock, flag.

License

ADE20K uses a dual license. Images: non-commercial research and educational use only (bespoke MIT CSAIL agreement; access via request form; MIT does not hold image copyright; commercial use requires permission from MIT CSAIL). Annotations, software, and website: BSD-3-Clause, Copyright 2019 MIT, CSAIL.

Source and attribution

This dataset is derived from ADE20K, created by MIT CSAIL - Zhou, Zhao, Puig, Fidler, Barriuso, Torralba, originally licensed BSD 3-Clause License. We are grateful to the original authors. If you use this data, please cite the original source above.


Published from Pictograph - annotate, train, and deploy from one API.

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