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Ego4D Goal-Step

The Ego4D Goal-Step dataset is a large-scale egocentric video dataset that contains 3,000 hours of egocentric video. The dataset is used for action recognition, action localization, and video question answering.

Data and Resources

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Cite this as

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao (2024). Dataset: Ego4D Goal-Step. https://doi.org/10.57702/rv150g8b

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2406.11816
Citation	https://doi.org/10.48550/arXiv.2406.09575
Author	Kristen Grauman
More Authors	Andrew Westbury Eugene Byrne Zachary Chavis Antonino Furnari Rohit Girdhar Jackson Hamburger Hao Jiang Miao Liu Xingyu Liu Miguel Martin Tushar Nagarajan Ilija Radosavovic Santhosh Kumar Ramakrishnan Fiona Ryan Jayant Sharma Michael Wray Mengmeng Xu Eric Zhongcong Xu Chen Zhao
Homepage	https://arxiv.org/abs/2207.00579