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Ego-Exo4D is a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously captured and timesynced egocentric and exocentric video of skilled human activities . More than 800 participants from 13 cities worldwide performed these activities in 131 different natural scene contexts, yielding long-form captures from 1 to 42 minutes each and 1,422 hours of video combined. The dataset contains skilled activites covering both physical (Soccer, Basketball, Dance, Bouldering, Music) and procedural (Cooking, Bike Repair, Health) tasks.

提供机构:
OpenDataLab
创建时间:
2024-05-14
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