Datasets:
Update README.md
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README.md
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> DEArt is an object detection and pose classification dataset meant to be a reference for paintings between the XIIth and the XVIIIth centuries. It contains more than 15000 images, about 80% non-iconic, aligned with manual annotations for the bounding boxes identifying all instances of 69 classes as well as 12 possible poses for boxes identifying human-like objects. Of these, more than 50 classes are cultural heritage specific and thus do not appear in other datasets; these reflect imaginary beings, symbolic entities and other categories related to art.
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### Supported Tasks and Leaderboards
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- `object-detection`: This dataset can be used to train or evaluate models for object-detection on historical document images.
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> DEArt is an object detection and pose classification dataset meant to be a reference for paintings between the XIIth and the XVIIIth centuries. It contains more than 15000 images, about 80% non-iconic, aligned with manual annotations for the bounding boxes identifying all instances of 69 classes as well as 12 possible poses for boxes identifying human-like objects. Of these, more than 50 classes are cultural heritage specific and thus do not appear in other datasets; these reflect imaginary beings, symbolic entities and other categories related to art.
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+
## Label Counts
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| Category | Count |
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|----------|-------|
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| person | 46806 |
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| tree | 11356 |
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| nude | 5070 |
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| halo | 4944 |
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| angel | 4930 |
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| horse | 3368 |
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| boat | 3252 |
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| bird | 3022 |
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| book | 2742 |
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| dog | 2225 |
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| helmet | 2048 |
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| lance | 1761 |
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| knight | 1759 |
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| sword | 1691 |
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| cow | 1422 |
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| jug | 1396 |
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| banner | 1337 |
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| sheep | 1302 |
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| crown | 1048 |
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| prayer | 997 |
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| monk | 932 |
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| devil | 879 |
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| apple | 829 |
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| shield | 772 |
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| scroll | 735 |
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| chalice | 613 |
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| crucifixion | 556 |
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| donkey | 514 |
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| skull | 490 |
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| lion | 489 |
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| butterfly | 485 |
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| monkey | 459 |
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| lily | 433 |
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| serpent | 424 |
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| arrow | 420 |
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| palm | 398 |
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| dove | 393 |
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| trumpet | 389 |
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| key of heaven | 384 |
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| dragon | 383 |
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| mitre | 374 |
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| crozier | 360 |
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| tiara | 351 |
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| deer | 349 |
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| crown of thorns | 342 |
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| hands | 281 |
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| god the father | 273 |
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| eagle | 260 |
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| shepherd | 238 |
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| head | 220 |
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| camauro | 208 |
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| elephant | 184 |
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| centaur | 177 |
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| cat | 173 |
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| swan | 165 |
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| rooster | 150 |
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| saturno | 137 |
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| unicorn | 128 |
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| zucchetto | 127 |
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| bear | 125 |
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| fish | 120 |
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| horn | 119 |
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| stole | 117 |
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| pegasus | 116 |
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| orange | 113 |
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| holy shroud | 91 |
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| judith | 85 |
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| zebra | 82 |
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| banana | 32 |
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| mouse | 27 |
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### Supported Tasks and Leaderboards
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- `object-detection`: This dataset can be used to train or evaluate models for object-detection on historical document images.
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