Ego4D (first-person video dataset)
Ego4D is a large-scale dataset designed for first-person video understanding, aimed at enhancing machine perception through diverse real-world scenarios.
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Ego4D is a large-scale dataset designed for first-person video understanding, aimed at enhancing machine perception through diverse real-world scenarios.
EPIC-KITCHENS is a large-scale egocentric video dataset designed for action recognition and video understanding in kitchen environments.
ActivityNet is a large-scale dataset for video understanding, focusing on complex human activities and events.
The AVA dataset is a large-scale dataset for recognizing atomic visual actions in video clips, facilitating advancements in computer vision and machine learning.