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Action Recognition datasets
archive 2025-07-28
115 datasets carry the task tag "Action Recognition" (the task itself: Action Recognition), ordered by the archive's paper count. Page 3 of 3: 19 shown of 115. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Action Recognition datasets 97–115 of 115
WiFall (Wireless Sensing Dataset for Fall Detection, Action Recognition and People ID Identification with ESP32-S3)
WiFall dataset contains data related to fall detection, action recognition and people id identification in a meeting room scenario.
2 papers · 1 benchmark
ANUBIS (Skeleton-Based Action Recognition Dataset)
ANUBIS is a large-scale human skeleton dataset containing 80 actions.
1 paper · 0 benchmarks
BEAR (Benchmark on video Action Recognition)
BEAR (Benchmark on video Action Recognition) is a collection of 18 video datasets grouped into 5 categories (anomaly, gesture, daily, sports, and instructional), which covers a diverse set of real-world applications.
1 paper · 0 benchmarks
GJ (gastrojejunostomy utsw)
49 videos of gastrojejunostomy procedure
1 paper · 0 benchmarks
HA-ViD (HA-ViD: A Human Assembly Video Dataset)
Understanding comprehensive assembly knowledge from videos is critical for futuristic ultra-intelligent industry.
1 paper · 0 benchmarks
Hand Wash Dataset consists of 292 videos of hand washes with each hand wash having 12 steps, for a total of 3,504 clips, in different environments to provide as much variance as possible.
1 paper · 0 benchmarks
InHARD (Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics)
We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from 16 distinct subjects.
1 paper · 0 benchmarks
MOD20 is an action recognition dataset consisting of videos collected from YouTube and our own drone.
1 paper · 0 benchmarks
MPOSE2021 (MPOSE2021 Dataset for Short-time Human Action Recognition)
MPOSE2021, a dataset for real-time short-time HAR, suitable for both pose-based and RGB-based methodologies.
1 paper · 0 benchmarks
Collecting data with a HIKVISION USB Camera DS-E11, we build a dataset called MentalHAD with four abnormal actions (climbing walls, hitting windows, climbing, and hitting) and six normal actions (crouching, standing, sitting, hand waving,…
1 paper · 0 benchmarks
Metaphorics is a newly introduced non-contextual skeleton action dataset.
1 paper · 0 benchmarks
A large, annotated video dataset of mice performing a sequence of actions.
1 paper · 0 benchmarks
The dataset is collected from the Youtube videos that contains fight instances in it.
1 paper · 0 benchmarks
TinyVIRAT-v2 is a benchmark dataset for recognizing real-world low-resolution activities present in videos.
1 paper · 0 benchmarks
The VIriors Action Recognition Challenge uses a subset of the UCF101 action recognition dataset: Train set: ~4.8K clips.
1 paper · 0 benchmarks
Existing benchmark datasets in real-world distribution shifts are generally synthetically generated via augmentations to simulate real-world shifts such as weather and camera rotation.
1 paper · 0 benchmarks
VFD-2000 is a video fight detection dataset containing more than 2000 videos.
1 paper · 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
Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine.
0 papers · 0 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.