Moment in Time is one of the biggest human-commented video datasets catching visual and discernible short occasions created by people, creatures, articles and nature. It was developed in 2018 by the researchers: Mathew Monfort, Alex Andonian, Bolei Zhou and Kandan Ramakrishnan. The dataset comprises more than 1,000,000 3-second recordings relating to 339 unique action words

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