EPIC-KITCHENS

doi:doi:10.57702/duo0n4xy

EPIC-KITCHENS

EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we simply asked each participant to start recording every time they entered their kitchen. Recordings took place in 4 cities (in North America and Europe) by participants belonging to 10 different nationalities, resulting in highly diverse cook-ing styles. Our dataset features 55 hours of video consisting of 11.5M frames, which we densely labelled for a total of 39.6K action segments and 454.3K object bounding boxes.

BibTex:

@dataset{Dima_Damen_and_Hazel_Doughty_and_Giovanni_Maria_Farinella_and_Sanja_Fidler_and_Antonino_Furnari_and_Evangelos_Kazakos_and_Davide_Moltisanti_and_Jonathan_Munro_and_Toby_Perrett_and_Will_Price_and_Michael_Wray_2024,
    abstract = {EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we simply asked each participant to start recording every time they entered their kitchen. Recordings took place in 4 cities (in North America and Europe) by participants belonging to 10 different nationalities, resulting in highly diverse cook-ing styles. Our dataset features 55 hours of video consisting of 11.5M frames, which we densely labelled for a total of 39.6K action segments and 454.3K object bounding boxes.},
    author = {Dima Damen and Hazel Doughty and Giovanni Maria Farinella and Sanja Fidler and Antonino Furnari and Evangelos Kazakos and Davide Moltisanti and Jonathan Munro and Toby Perrett and Will Price and Michael Wray},
    doi = {10.57702/duo0n4xy},
    institution = {No Organization},
    keyword = {'Action Anticipation', 'Action Recognition', 'Egocentric', 'Egocentric Vision', 'Human-Object Interaction', 'Kitchen Environments', 'Localization', 'Video', 'Video Analysis', 'action recognition', 'egocentric vision', 'hand-object interaction', 'object detection', 'unscripted interactions', 'video benchmarking'},
    month = {dec},
    publisher = {TIB},
    title = {EPIC-KITCHENS},
    url = {https://service.tib.eu/ldmservice/dataset/epic-kitchens},
    year = {2024}
}