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Action Recognition In Videos datasets
archive 2025-07-28
17 datasets carry the task tag "Action Recognition In Videos" (the task itself: Action Recognition In Videos), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Action Recognition In Videos datasets 1–17 of 17
UCF101 (UCF101 Human Actions dataset)
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories.
1,863 papers · 23 benchmarks
Kinetics (Kinetics Human Action Video Dataset)
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos.
1,341 papers · 18 benchmarks
The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos.
839 papers · 10 benchmarks
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube.
807 papers · 17 benchmarks
The dataset contains 400 human action classes, with at least 400 video clips for each action.
712 papers · 0 benchmarks
NTU RGB+D is a large-scale dataset for RGB-D human action recognition.
476 papers · 9 benchmarks
The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for testing from 20 classes.
318 papers · 18 benchmarks
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects.
290 papers · 7 benchmarks
The Sports-1M dataset consists of over a million videos from YouTube.
164 papers · 2 benchmarks
The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories.
148 papers · 3 benchmarks
The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects.
117 papers · 3 benchmarks
AVA (Atomic Visual Actions)
AVA is a project that provides audiovisual annotations of video for improving our understanding of human activity.
113 papers · 7 benchmarks
The PKU-MMD dataset is a large skeleton-based action detection dataset.
72 papers · 4 benchmarks
A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains detailed annotations for fine-grained action recognition, commentary generation, and estimating the AQA…
33 papers · 2 benchmarks
Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a laptop camera or webcam.
16 papers · 6 benchmarks
CVB (Video Dataset of Cattle Visual Behaviors)
Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments.
2 papers · 0 benchmarks
First of its kind paired win-fail action understanding dataset with samples from the following domains: “General Stunts,” “Internet Wins-Fails,” “Trick Shots,” & “Party Games.” The task is to identify successful and failed attempts at…
1 paper · 2 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.