{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-short-note-about-kinetics-600","title":"A Short Note about Kinetics-600","arxiv_id":"1808.01340","date":"2018-08-03","proceeding":null,"authors":["Joao Carreira","Eric Noland","Andras Banki-Horvath","Chloe Hillier","Andrew Zisserman"],"abstract":"We describe an extension of the DeepMind Kinetics human action dataset from\n400 classes, each with at least 400 video clips, to 600 classes, each with at\nleast 600 video clips. In order to scale up the dataset we changed the data\ncollection process so it uses multiple queries per class, with some of them in\na language other than english -- portuguese. This paper details the changes\nbetween the two versions of the dataset and includes a comprehensive set of\nstatistics of the new version as well as baseline results using the I3D neural\nnetwork architecture. The paper is a companion to the release of the ground\ntruth labels for the public test set.","url_abs":"http://arxiv.org/abs/1808.01340v1","url_pdf":"http://arxiv.org/pdf/1808.01340v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-short-note-about-kinetics-600","repo_url":"https://github.com/rocksyne/kinetics-dataset-downloader","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"action-classification","task_name":"Action Classification"}],"methods":[],"datasets_introduced":[{"slug":"kinetics-600","name":"Kinetics-600","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/action-classification-on-kinetics-600","task":"Action Classification","dataset":"Kinetics-600","model":"I3D (RGB)","rank_in_archive_order":61,"of":65,"metrics":{"Top-1 Accuracy":"73.6"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.01340","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}