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Unsupervised Video Object Segmentation datasets

archive 2025-07-28

8 datasets carry the task tag "Unsupervised Video Object Segmentation" (the task itself: Unsupervised Video Object 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 52Unsupervised Video Object Segmentation 8

Unsupervised Video Object Segmentation datasets 1–8 of 8

DAVIS 2017
DAVIS17 is a dataset for video object segmentation.
ImagesVideosSemantic SegmentationVideo Object SegmentationVideo PredictionReferring Expression SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object Segmentation+1 tasks
308 papers · 12 benchmarks
DAVIS 2016
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and 20 for testing).
ImagesVideosVideo Object SegmentationSemi-Supervised Video Object SegmentationUnsupervised Object SegmentationUnsupervised Video Object Segmentation
231 papers · 4 benchmarks
FBMS (Freiburg-Berkeley Motion Segmentation)
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences.
ImagesVideosVideo Object SegmentationVideo Salient Object DetectionUnsupervised Object SegmentationUnsupervised Video Object Segmentation
126 papers · 1 benchmark
SegTrack-v2
SegTrack v2 is a video segmentation dataset with full pixel-level annotations on multiple objects at each frame within each video.
ImagesVideosSemantic SegmentationVideo Object SegmentationVideo Salient Object DetectionUnsupervised Object SegmentationUnsupervised Video Object SegmentationVideo Semantic Segmentation+1 tasks
107 papers · 5 benchmarks
Referring Expressions for DAVIS 2016 & 2017
Our task is to localize and provide a pixel-level mask of an object on all video frames given a language referring expression obtained either by looking at the first frame only or the full video.
TextsVideo Object SegmentationReferring Expression SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object Segmentation
82 papers · 1 benchmark
MOSE (Complex Video Object Segmentation)
CoMplex video Object SEgmentation (MOSE) is a dataset to study the tracking and segmenting objects in complex environments.
VideosVideo Object SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object SegmentationVideo Semantic SegmentationInteractive Video Object Segmentation
49 papers · 2 benchmarks
FBMS-59 (Freiburg-Berkeley Motion Segmentation)
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is a dataset for motion segmentation, which extends the BMS-26 dataset with 33 additional video sequences.
ImagesVideosVideo Object SegmentationVideo Salient Object DetectionUnsupervised Object SegmentationUnsupervised Video Object Segmentation
19 papers · 3 benchmarks
BL30K
BL30K is a synthetic dataset rendered using Blender with ShapeNet's data.
VideosVideo Object SegmentationSemi-Supervised Video Object SegmentationUnsupervised Video Object SegmentationVideo Object TrackingInteractive Video Object Segmentation
11 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.