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Video Instance Segmentation datasets

archive 2025-07-28

8 datasets carry the task tag "Video Instance Segmentation" (the task itself: Video Instance Segmentation), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Video Instance Segmentation 8

Video Instance Segmentation datasets 1–8 of 8

BDD100K
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
VideosImage Classification2D Object DetectionObject DetectionSemantic SegmentationDomain AdaptationInstance Segmentation+14 tasks
469 papers · 16 benchmarks
YouTube-VIS 2019
YouTubeVIS is a new dataset tailored for tasks like simultaneous detection, segmentation and tracking of object instances in videos and is collected based on the current largest video object segmentation dataset YouTubeVOS.
VideosSemantic SegmentationInstance SegmentationVideo Instance Segmentation
163 papers · 2 benchmarks
OVIS (Occluded Video Instance Segmentation)
OVIS is a new large scale benchmark dataset for video instance segmentation task.
VideosVideo Instance Segmentation
75 papers · 1 benchmark
YouTube-VIS 2021 (Video Instance Segmentation on YouTube-VIS 2021 validation)
3,859 high-resolution YouTube videos, 2,985 training videos, 421 validation videos and 453 test videos.
VideosVideo Instance Segmentation
52 papers · 1 benchmark
UVO (Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation)
UVO is a new benchmark for open-world class-agnostic object segmentation in videos.
ImagesVideosRGB VideoObject DetectionInstance SegmentationObject LocalizationUnsupervised Object DetectionVideo Instance SegmentationOpen World Object Detection+3 tasks
27 papers · 2 benchmarks
BURST
BURST is a benchmark suite built upon TAO that requires tracking and segmenting multiple objects from camera video.
RGB VideoSemi-Supervised Video Object SegmentationVideo Instance SegmentationMulti-Object Tracking and SegmentationLong-tail Video Object SegmentationOpen-World Video Segmentation
18 papers · 5 benchmarks
Youtube-VIS 2022 Validation
Video object segmentation has been studied extensively in the past decade due to its importance in understanding video spatial-temporal structures as well as its value in industrial applications.
VideosMulti-Object TrackingVideo Instance Segmentation
6 papers · 1 benchmark
HQ-YTVIS
While Video Instance Segmentation (VIS) has seen rapid progress, current approaches struggle to predict high-quality masks with accurate boundary details.
Video Instance Segmentation
5 papers · 1 benchmark

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.