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EPIC-Kitchens dataset
- epic-kitchens.github.io
- ruohaoguo.github.io
- +6more
bin, csv, jpeg, mp4Updated May 30, 2025
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EmailClick to copy linkLink copiedCiteEPIC Team (2025). EPIC-Kitchens dataset [Dataset]. http://doi.org/10.5523/bris.3h91syskeag572hl6tvuovwv4dmp4, bin, jpeg, csvAvailable download formatsUnique identifierhttps://doi.org/10.5523/bris.3h91syskeag572hl6tvuovwv4dDataset updatedMay 30, 2025Dataset authored and provided byEPIC TeamLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionFirst-person (egocentric) video dataset; multi-faceted non-scripted recordings in the wearers' homes, capturing all daily activities in the kitchen over multiple days. Annotations are collected using a novel live audio commentary approach.
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epic_kitchens_100
- huggingface.co
Updated Jan 14, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAwsaf (2025). epic_kitchens_100 [Dataset]. https://huggingface.co/datasets/awsaf49/epic_kitchens_100CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 14, 2025AuthorsAwsafLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionMotivation
The actual download link is very slow, including the academic torrent. Therefore, to spare fellow community members from this misery, I am uploading the dataset here.
SourceYou can fnd the original source to download the dataset: https://github.com/epic-kitchens/epic-kitchens-download-scripts
Citation@INPROCEEDINGS{Damen2018EPICKITCHENS, title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset}, author={Damen, Dima and Doughty, Hazel andโฆ See the full description on the dataset page: https://huggingface.co/datasets/awsaf49/epic_kitchens_100.
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EPIC-KITCHENS-100 Automatic Annotations/hand-objects/P04 - Datasets -...
- data.bris.ac.uk
Updated Apr 4, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCite(2023). EPIC-KITCHENS-100 Automatic Annotations/hand-objects/P04 - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/4ac830f8aa57c88acad787407d7dda86Dataset updatedApr 4, 2023DescriptionEPIC-KITCHENS-100 Automatic Annotations/hand-objects/P04
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EPIC-KITCHENS-100
- academictorrents.com
bittorrentUpdated May 25, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDima Aldamen and Davide Moltisanti and Evangelos Kazakos and Hazel Doughty and Jonathan Munro and William Price and Michael Wray and Tobias Perrett and Jian Ma (2021). EPIC-KITCHENS-100 [Dataset]. https://academictorrents.com/details/c92b4a3cd3834e9af9666ac82379ff15ca289a83bittorrent(795905919690)Available download formatsDataset updatedMay 25, 2021Dataset authored and provided byDima Aldamen and Davide Moltisanti and Evangelos Kazakos and Hazel Doughty and Jonathan Munro and William Price and Michael Wray and Tobias Perrett and Jian MaLicensehttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/
DescriptionEPIC-KITCHENS-100: Extended Footage for EPIC-KITCHENS dataset, to 100 hours of footage. 10.5523/bris.2g1n6qdydwa9u22shpxqzp0t8m 2020-09-10 N.b. please also see ERRATUM published at 2021-05-25 This supersedes the original torrent, which had a small change made.
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EPIC-KITCHENS VISOR - Datasets - data.bris
- data.bris.ac.uk
Updated Aug 15, 2022+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCite(2022). EPIC-KITCHENS VISOR - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/2v6cgv1x04ol22qp9rm9x2j6a7Dataset updatedAug 15, 2022DescriptionWe introduce VISOR, a new dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS, which comes with a new set of challenges not encountered in current video segmentation datasets. Specifically, we need to ensure both short- and long-term consistency of pixel-level annotations as objects undergo transformative interactions, e.g. an onion is peeled, diced and cooked - where we aim to obtain accurate pixel-level annotations of the peel, onion pieces, chopping board, knife, pan, as well as the acting hands. VISOR introduces an annotation pipeline, AI-powered in parts, for scalability and quality. Data published under the Creative Commons Attribution-NonCommerial 4.0 International License.
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EPIC-KITCHENS-100-trimmed
- huggingface.co
Updated Nov 6, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteKiyoon (2023). EPIC-KITCHENS-100-trimmed [Dataset]. https://huggingface.co/datasets/kiyoonkim/EPIC-KITCHENS-100-trimmedDataset updatedNov 6, 2023AuthorsKiyoonDescriptionkiyoonkim/EPIC-KITCHENS-100-trimmed dataset hosted on Hugging Face and contributed by the HF Datasets community
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epic_kitchens_100
- huggingface.co
Updated Jul 8, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteHuggingFaceM4 (2023). epic_kitchens_100 [Dataset]. https://huggingface.co/datasets/HuggingFaceM4/epic_kitchens_100Dataset updatedJul 8, 2023Dataset authored and provided byHuggingFaceM4LicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionEPIC-KITCHENS-100 is a large-scale dataset in first-person (egocentric) vision; multi-faceted, audio-visual, non-scripted recordings in native environments - i.e. the wearers' homes, capturing all daily activities in the kitchen over multiple days. Annotations are collected using a novel 'Pause-and-Talk' narration interface.
EPIC-KITCHENS-100 is an extension of the EPIC-KITCHENS dataset released in 2018, to 100 hours of footage.
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EPIC-KITCHENS 2018/videos/test/P32
- data.wu.ac.at
mp4Updated Apr 5, 2018+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteEngineering (2018). EPIC-KITCHENS 2018/videos/test/P32 [Dataset]. https://data.wu.ac.at/schema/data_bris_ac_uk_data_/ZWMyMzhkYzktZDY2YS00MTFjLWJjMzMtMTE2NmQ3YmY5ZWY2mp4(1529846268.0), mp4(1060891103.0), mp4(109790478.0), mp4(912286510.0), mp4(1374979819.0), mp4(1864004450.0), mp4(1606054028.0), mp4(750639685.0), mp4(838456896.0), mp4(2221451323.0)Available download formatsDataset updatedApr 5, 2018Dataset provided byEngineeringLicensehttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/non-commercial-government-licence.htmhttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/non-commercial-government-licence.htm
DescriptionThe largest dataset in egocentric vision to-date. Full details on: http://epic-kitchens.github.io
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EPIC KITCHENS SHORT TERM ANTICIPATION
- ieee-dataport.org
Updated Feb 18, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLorenzo Labadia (2025). EPIC KITCHENS SHORT TERM ANTICIPATION [Dataset]. https://ieee-dataport.org/documents/epic-kitchens-short-term-anticipationDataset updatedFeb 18, 2025AuthorsLorenzo LabadiaLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionthe noun and verb categories of the interaction
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EPIC-KITCHENS 2018/frames_rgb_flow - Datasets - data.bris
- data.bris.ac.uk
Updated May 24, 2018+ more versions - b
EPIC-KITCHENS-100 Automatic Annotations - Datasets - data.bris
- data.bris.ac.uk
Updated Jun 17, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2020). EPIC-KITCHENS-100 Automatic Annotations - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/3l8eci2oqgst92n14w2yqi5ytuDataset updatedJun 17, 2020DescriptionMasks and hand-object detections for EPIC-KITCHENS-100 (see dataset at https://doi.org/10.5523/bris.2g1n6qdydwa9u22shpxqzp0t8m).
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D. Damen, H. Doughty, G. M. Farinella, A. Furnari, E. Kazakos, J. Ma, D....
- service.tib.eu
Updated Nov 25, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). D. Damen, H. Doughty, G. M. Farinella, A. Furnari, E. Kazakos, J. Ma, D. Moltisanti, J. Munro, T. Perrett, W. Price (2024). Dataset: Epic-Kitchens-100. https://doi.org/10.57702/582dky7a [Dataset]. https://service.tib.eu/ldmservice/dataset/epic-kitchens-100Dataset updatedNov 25, 2024DescriptionThe Epic-Kitchens-100 dataset contains 97 verb and 300 noun classes with actions defined by the combination of nouns and verbs.
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EPIC-KITCHENS 2018/frames_rgb_flow/flow/train/P02
- data.wu.ac.at
tarUpdated Apr 5, 2018ShareFacebookTwitterEmailClick to copy linkLink copiedCiteEngineering (2018). EPIC-KITCHENS 2018/frames_rgb_flow/flow/train/P02 [Dataset]. https://data.wu.ac.at/schema/data_bris_ac_uk_data_/MjczNjgyYzYtNmI5MC00NzZiLWI5YmItYjU0MTg5Nzg0NjI4tar(23808000.0), tar(735150080.0), tar(1152061440.0), tar(283105280.0), tar(60436480.0), tar(121047040.0), tar(496261120.0), tar(29501440.0), tar(128757760.0), tar(9738240.0), tar(37949440.0)Available download formatsDataset updatedApr 5, 2018Dataset provided byEngineeringLicensehttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/non-commercial-government-licence.htmhttp://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/non-commercial-government-licence.htm
DescriptionThe largest dataset in egocentric vision to-date. Full details on: http://epic-kitchens.github.io
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FacebookTwitterEmailAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
First-person (egocentric) video dataset; multi-faceted non-scripted recordings in the wearers' homes, capturing all daily activities in the kitchen over multiple days. Annotations are collected using a novel live audio commentary approach.