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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 9 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 385–432 of 1,014
Amazon Mechanical Turk (AMT) is used to collect annotations on HowTo100M videos.
9 papers · 0 benchmarks
We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset.
9 papers · 1 benchmark
KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory.
9 papers · 0 benchmarks
MSASL is a real-life large-scale sign language data set comprising over 25,000 annotated videos.
9 papers · 1 benchmark
This is a dataset for a video inverse-tone-mapping task.
9 papers · 1 benchmark
MVK (Marine Video Kit)
The dataset contains single-shot videos taken from moving cameras in underwater environments.
9 papers · 1 benchmark
MuSe-CaR (Multimodal Sentiment Analysis in Car Reviews)
The MuSe-CAR database is a large, multimodal (video, audio, and text) dataset which has been gathered in-the-wild with the intention of further understanding Multimodal Sentiment Analysis in-the-wild, e.g., the emotional engagement that…
9 papers · 0 benchmarks
PSI-AVA is a dataset designed for holistic surgical scene understanding.
9 papers · 0 benchmarks
PTB-TIR is a Thermal InfraRed (TIR) pedestrian tracking benchmark, which provides 60 TIR sequences with mannuly annoations.
9 papers · 0 benchmarks
PathTrack is a dataset for person tracking which contains more than 15,000 person trajectories in 720 sequences.
9 papers · 0 benchmarks
Most existing MOT datasets are captured using pinhole cameras, which are characterized by a narrow-FoV and linear sensor motion.
9 papers · 1 benchmark
TEMPO (Localizing Moments in Video with Temporal Language)
TEMPOral reasoning in video and language (TEMPO) is a dataset that consists of two parts: a dataset with real videos and template sentences (TEMPO - Template Language) which allows for controlled studies on temporal language, and a human…
9 papers · 0 benchmarks
TUM-GAID (TUM Gait from Audio, Image and Depth) collects 305 subjects performing two walking trajectories in an indoor environment.
9 papers · 0 benchmarks
Thai-Chi-HD is a high resolution dataset which can be used as reference benchmark for evaluating frameworks for image animation and video generation.
9 papers · 3 benchmarks
The UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN.
9 papers · 1 benchmark
UDIVA is a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior elicitation and cognitive workload.
9 papers · 0 benchmarks
VIL-100 is a video instance lane detection dataset, which contains 100 videos with in total 10,000 frames, acquired from different real traffic scenarios.
9 papers · 0 benchmarks
VLM2-Bench (VLM²-Bench)
VLM²-Bench: Benchmarking Vision-Language Models on Visual Cue Matching Description VLM²-Bench is the first comprehensive benchmark designed to evaluate vision-language models' (VLMs) ability to visually link matching cues across…
9 papers · 1 benchmark
VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB.
9 papers · 1 benchmark
The Zenseact Open Dataset (ZOD) is a large-scale and diverse multi-modal autonomous driving (AD) dataset, created by researchers at Zenseact.
9 papers · 0 benchmarks
BosphorusSign22k is a benchmark dataset for vision-based user-independent isolated Sign Language Recognition (SLR).
8 papers · 0 benchmarks
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
DarkTrack2021 is a challenging nighttime UAV tracking benchmark, which contains 110 challenging sequences with over 100 K frames in total.
8 papers · 0 benchmarks
FVI (Free-form Video Inpainting)
The Free-Form Video Inpainting dataset is a dataset used for training and evaluation video inpainting models.
8 papers · 0 benchmarks
HANDAL (HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions)
We present the HANDAL dataset for category-level object pose estimation and affordance prediction.
8 papers · 0 benchmarks
Kinetics-100 is a dataset split created from the Kinetics dataset to evaluate the performance of few-shot action recognition models.
8 papers · 1 benchmark
MISAW (MIcro-Surgical Anastomose Workflow recognition on training sessions)
The MISAW data set is composed of 27 sequences of micro-surgical anastomosis on artificial blood vessels performed by 3 surgeons and 3 engineering students.
8 papers · 1 benchmark
OPERAnet is a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.
8 papers · 0 benchmarks
OPRA (Online Product Reviews for Affordances)
The OPRA Dataset was introduced in Demo2Vec: Reasoning Object Affordances From Online Videos (CVPR'18) for reasoning object affordances from online demonstration videos.
8 papers · 2 benchmarks
The Oulu-NPU face presentation attack detection database consists of 4950 real access and attack videos.
8 papers · 1 benchmark
OpenS2V-Eval introduces 180 prompts from seven major categories of S2V, which incorporate both real and synthetic test data.
8 papers · 1 benchmark
ROBUST-MIS (Robust Medical Instrument Segmentation Challenge 2019)
The ROBUST-MIS dataset was made available to support the Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge 2019, part of the Endoscopic Vision Challenge associated with MICCAI.
8 papers · 1 benchmark
The SAMM Long Videos dataset consists of 147 long videos with 343 macro-expressions and 159 micro-expressions.
8 papers · 0 benchmarks
SEND (Stanford Emotional Narratives Dataset)
SEND (Stanford Emotional Narratives Dataset) is a set of rich, multimodal videos of self-paced, unscripted emotional narratives, annotated for emotional valence over time.
8 papers · 0 benchmarks
TikTok Dataset (Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos)
We learn high fidelity human depths by leveraging a collection of social media dance videos scraped from the TikTok mobile social networking application.
8 papers · 0 benchmarks
The Video-based Multimodal Summarization with Multimodal Output (VMSMO) corpus consists of 184,920 document-summary pairs, with 180,000 training pairs, 2,460 validation and test pairs.
8 papers · 0 benchmarks
8 papers · 0 benchmarks
VideoXum is an enriched large-scale dataset for cross-modal video summarization.
8 papers · 1 benchmark
The YouTube-100M data set consists of 100 million YouTube videos: 70M training videos, 10M evaluation videos, and 20M validation videos.
8 papers · 0 benchmarks
YouTube-ASL is a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube.
8 papers · 0 benchmarks
ACAV100M (Automatically Curated Audio-Visual)
ACAV100M processes 140 million full-length videos (total duration 1,030 years) which are used to produce a dataset of 100 million 10-second clips (31 years) with high audio-visual correspondence.
7 papers · 0 benchmarks
The Atari Grand Challenge dataset is a large dataset of human Atari 2600 replays.
7 papers · 0 benchmarks
BS-RSC is a real-world rolling shutter (RS) correction dataset and a corresponding model to correct the RS frames in a distorted video.
7 papers · 1 benchmark
CHAD (Charlotte Anomaly Dataset)
CHAD: Charlotte Anomaly Dataset CHAD is high-resolution, multi-camera dataset for surveillance video anomaly detection.
7 papers · 1 benchmark
ChangeSim is a dataset aimed at online scene change detection (SCD) and more.
7 papers · 2 benchmarks
The Human Related version of UBnormal ("UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection," Acsintoae et al.) was introduced by Flaborea et al.
7 papers · 1 benchmark
HiREST (HIerarchical REtrieval and STep-captioning)
HiREST (HIerarchical REtrieval and STep-captioning) dataset is a benchmark that covers hierarchical information retrieval and visual/textual stepwise summarization from an instructional video corpus.
7 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.