arielnlee/Realistic-Occlusion-Dataset download history

arielnlee/Realistic-Occlusion-Dataset is an image classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 72 times (18 in the last 7 days), and 1,897 times in total. It ranks #143,699 among datasets by monthly downloads.

ROD is meant to serve as a metric for evaluating models' robustness to occlusion. It is the product of a meticulous object collection protocol aimed at collecting and capturing 40+ distinct, real-world objects from 16 classes.

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