folder 3h91syskeag572hl6tvuovwv4d (1735 files)
filevideos/train/P31/P31_09.MP4 960.43MB
filevideos/train/P31/P31_13.MP4 2.48GB
filevideos/train/P31/P31_14.MP4 1.18GB
filevideos/train/P31/P31_08.MP4 3.16GB
filevideos/train/P31/P31_06.MP4 706.68MB
filevideos/train/P31/P31_07.MP4 950.50MB
filevideos/train/P31/P31_05.MP4 1.82GB
filevideos/train/P31/P31_03.MP4 1.03GB
filevideos/train/P31/P31_04.MP4 364.41MB
filevideos/train/P31/P31_02.MP4 785.88MB
filevideos/train/P30/P30_11.MP4 1.30GB
filevideos/train/P31/P31_01.MP4 1.79GB
filevideos/train/P30/P30_10.MP4 2.99GB
filevideos/train/P30/P30_05.MP4 12.28GB
filevideos/train/P30/P30_06.MP4 1.51GB
filevideos/train/P30/P30_01.MP4 282.81MB
filevideos/train/P30/P30_02.MP4 896.34MB
filevideos/train/P30/P30_03.MP4 1.97GB
filevideos/train/P30/P30_04.MP4 2.68GB
filevideos/train/P29/P29_03.MP4 11.70GB
filevideos/train/P29/P29_04.MP4 1.01GB
filevideos/train/P29/P29_01.MP4 7.61GB
filevideos/train/P29/P29_02.MP4 1.09GB
filevideos/train/P28/P28_14.MP4 1.05GB
filevideos/train/P28/P28_12.MP4 102.56MB
filevideos/train/P28/P28_13.MP4 565.57MB
filevideos/train/P28/P28_11.MP4 1.24GB
filevideos/train/P28/P28_09.MP4 1.88GB
filevideos/train/P28/P28_10.MP4 229.85MB
filevideos/train/P28/P28_08.MP4 1.27GB
filevideos/train/P28/P28_04.MP4 1.71GB
filevideos/train/P28/P28_05.MP4 1.97GB
filevideos/train/P28/P28_06.MP4 2.80GB
filevideos/train/P28/P28_07.MP4 493.45MB
filevideos/train/P28/P28_01.MP4 1.28GB
filevideos/train/P28/P28_02.MP4 1.91GB
filevideos/train/P28/P28_03.MP4 2.95GB
filevideos/train/P27/P27_03.MP4 369.56MB
filevideos/train/P27/P27_04.MP4 1.25GB
filevideos/train/P27/P27_06.MP4 3.39GB
filevideos/train/P27/P27_07.MP4 3.60GB
filevideos/train/P27/P27_01.MP4 1.06GB
filevideos/train/P27/P27_02.MP4 683.79MB
filevideos/train/P26/P26_29.MP4 209.64MB
filevideos/train/P26/P26_27.MP4 105.99MB
filevideos/train/P26/P26_28.MP4 497.58MB
filevideos/train/P26/P26_23.MP4 322.88MB
filevideos/train/P26/P26_24.MP4 220.43MB
filevideos/train/P26/P26_25.MP4 148.94MB
Too many files! Click here to view them all.
Type: Dataset
Tags:

Bibtex:
@article{,
title= {EPIC-KITCHENS 2018},
journal= {},
author= {Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael},
year= {},
url= {http://epic-kitchens.github.io},
abstract= {The largest dataset in egocentric vision to-date. Full details on: http://epic-kitchens.github.io},
keywords= {},
terms= {},
license= {Non-Commercial Government License for public sector information},
superseded= {}
}

Hosted by users:

Send Feedback