Archives for Human motion dataset
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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ActivityNet is an enormous dataset that covers exercises that are generally pertinent to how people invest their energy in their everyday living. It was developed in 2015 by the researchers: Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanemand Juan Carlos Niebles1. ActivityNet gives tests from 203 movement classes with a normal of 137 untrimmed recordings per class and 1.41 movement occurrences per video, for an aggregate of 849 video hours.
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