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Videos datasets
archive 2025-07-281,014 datasets carry the modality tag "Videos", ordered by the archive's paper count. Page 13 of 22: 48 shown of 1,014. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
Videos datasets 577–624 of 1,014
Content4All is a collection of six open research datasets aimed at automatic sign language translation research.
3 papers · 0 benchmarks
Countix-AV is a dataset for repetitive action counting by sight and sound created by repurposing the Countix dataset.
3 papers · 0 benchmarks
DCASE2014 is an audio classification benchmark.
3 papers · 0 benchmarks
DFDM (Deepfake videos generated from different models)
We created a new dataset, named DFDM, with 6,450 Deepfake videos generated by different Autoencoder models.
3 papers · 0 benchmarks
DIVOTrack is a cross-view multi-object tracking dataset for DIVerse Open scenes with dense tracking pedestrians in realistic and non-experimental environments.
3 papers · 0 benchmarks
Deep Fakes Dataset (inamibora)
The Deep Fakes Dataset is a collection of "in the wild" portrait videos for deepfake detection.
3 papers · 0 benchmarks
3 papers · 0 benchmarks
From Grounded Human-Object Interaction Hotspots from Video (ICCV'19): We collect annotations for interaction keypoints on EPIC Kitchens in order to quantitatively evaluate our method in parallel to the OPRA dataset (where annotations are…
3 papers · 1 benchmark
The BIWI Walking Pedestrians dataset consists of walking pedestrians in busy scenarios from a birds eye view.
3 papers · 0 benchmarks
Ego4D-HCap is a hierarchical video captioning dataset comprised of a three-tier hierarchy of captions: short clip-level captions, medium-length video segment descriptions, and long-range video-level summaries.
3 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
3 papers · 0 benchmarks
Fitness-AQA (Fitness Action Quality Assessment [ECCV 2022])
Largest, first-of-its-kind, in-the-wild, fine-grained workout/exercise posture analysis dataset, covering three different exercises: BackSquat, Barbell Row, and Overhead Press.
3 papers · 0 benchmarks
Ford Campus Vision and Lidar Data Set is a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck.
3 papers · 0 benchmarks
FunQA is a challenging video question answering (QA) dataset specifically designed to evaluate and enhance the depth of video reasoning based on counter-intuitive and fun videos.
3 papers · 0 benchmarks
GraSP (Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies)
Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as a hierarchy of complementary tasks with varying levels of granularity.
3 papers · 1 benchmark
GroOT (Grounded Multiple Object Tracking)
One of the recent trends in vision problems is to use natural language captions to describe the objects of interest.
3 papers · 0 benchmarks
3 papers · 1 benchmark
HOPE-Video (Household Objects for Pose Estimation)
The HOPE-Video dataset contains 10 video sequences (2038 frames) with 5-20 objects on a tabletop scene captured by a robot arm-mounted RealSense D415 RGBD camera.
3 papers · 0 benchmarks
IfAct (Identifying Human Actions Visible in Online Vlogs)
We consider the task of identifying human actions visible in online videos.
3 papers · 0 benchmarks
This Dataset consists of 2120 sequences of binary masks of pedestrians.
3 papers · 1 benchmark
M-VAD Names (M-VAD Names Dataset)
The dataset contains the annotations of characters' visual appearances, in the form of tracks of face bounding boxes, and the associations with characters' textual mentions, when available.
3 papers · 1 benchmark
MERL Shopping is a dataset for training and testing action detection algorithms.
3 papers · 0 benchmarks
MISP2021 (Multimodal Information Based Speech Processing 2021)
The MISP2021 challenge dataset is a collection of audio-visual conversational data recorded in a home TV scenario using distant multi-microphones.
3 papers · 0 benchmarks
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assistance, situational awareness, and patient safety.
3 papers · 3 benchmarks
MMDB (Multimodal Dyadic Behavior)
Multimodal Dyadic Behavior (MMDB) dataset is a unique collection of multimodal (video, audio, and physiological) recordings of the social and communicative behavior of toddlers.
3 papers · 0 benchmarks
MOMA-LRG (Multi-Object Multi-Actor activity parsing with Language-Refined Graphs)
A dataset dedicated to multi-object, multi-actor activity parsing.
3 papers · 1 benchmark
The pioneering eyeblink detection dataset is characterized by three key features: (1) Sample with multi-human instances.
3 papers · 2 benchmarks
MSR-VTT Adverbs is a subset from MSR-VTT with extracted verb-adverb annotations.
3 papers · 2 benchmarks
Frame-to-frame video alignment/synchronization
3 papers · 1 benchmark
MeLa BitChute is a near-complete dataset of over 3M videos from 61K channels over 2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a commonly used alternative to YouTube.
3 papers · 0 benchmarks
Replay data from human players and AI agents navigating in a 3D game environment.
3 papers · 0 benchmarks
OREBA (Objectively Recognizing Eating Behavior and Associated Intake)
The OREBA dataset aims to provide a comprehensive multi-sensor recording of communal intake occasions for researchers interested in automatic detection of intake gestures.
3 papers · 0 benchmarks
OpenLane-V2 is the world's first perception and reasoning benchmark for scene structure in autonomous driving.
3 papers · 1 benchmark
OSAI introduces OpenTTGames - an open dataset aimed at evaluation of different computer vision tasks in Table Tennis: ball detection, semantic segmentation of humans, table and scoreboard and fast in-game events spotting.
3 papers · 0 benchmarks
PETRAW (PEg TRAnsfer Workflow recognition by different modalities)
PETRAW data set was composed of 150 sequences of peg transfer training sessions.
3 papers · 6 benchmarks
A large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K frames.
3 papers · 0 benchmarks
Polyps in the colon are widely known cancer precursors identified by colonoscopy.
3 papers · 1 benchmark
QST (Quick Sky Time)
QST contains 1,167 video clips that are cut out from 216 time-lapse 4K videos collected from YouTube, which can be used for a variety of tasks, such as (high-resolution) video generation, (high-resolution) video prediction,…
3 papers · 0 benchmarks
RLV (Reinforcement Learning with Videos)
We provide video observations of humans performing two simple tasks in natural environments.
3 papers · 0 benchmarks
RoboBEV is a robustness evaluation benchmark tailored for camera-based bird's eye view (BEV) perception under natural data corruptions and domain shift.
3 papers · 0 benchmarks
SDN (Situated Dialogue Navigation)
Situated Dialogue Navigation (SDN) is a navigation benchmark of 183 trials with a total of 8415 utterances, around 18.7 hours of control streams, and 2.9 hours of trimmed audio.
3 papers · 0 benchmarks
A short clip of video may contain progression of multiple events and an interesting story line.
3 papers · 3 benchmarks
SoccerNet-GSR (SoccerNet Game State Reconstruction)
The SoccerNet Game State Reconstruction task is a novel high level computer vision task that is specific to sports analytics.
3 papers · 0 benchmarks
SurgT is a dataset for benchmarking 2D Trackers in Minimally Invasive Surgery (MIS).
3 papers · 0 benchmarks
The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content characteristics, The test video collection for TRECVID-AVS2019-TRECVID-AVS2021, which contains 1,082,649 web video clips,…
3 papers · 1 benchmark
TaL Corpus (The Tongue and Lips Corpus)
The Tongue and Lips (TaL) corpus is a multi-speaker corpus of ultrasound images of the tongue and video images of lips.
3 papers · 0 benchmarks
TbV Dataset (Trust, but Verify Dataset)
The TbV dataset is large-scale dataset created to allow the community to improve the state of the art in machine learning tasks related to mapping, that are vital for self-driving.
3 papers · 0 benchmarks
Tragic Talkers is an audio-visual dataset consisting of excerpts from the "Romeo and Juliet" drama captured with microphone arrays and multiple co-located cameras for light-field video.
3 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.