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Semi-Supervised Semantic Segmentation datasets

archive 2025-07-28

13 datasets carry the task tag "Semi-Supervised Semantic Segmentation" (the task itself: Semi-Supervised Semantic Segmentation), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. 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 52Semi-Supervised Semantic Segmentation 13

Semi-Supervised Semantic Segmentation datasets 1–13 of 13

Cityscapes
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes.
ImagesSemantic SegmentationImage Generation2D Semantic SegmentationInstance SegmentationScene ParsingImage-to-Image Translation+27 tasks
3,702 papers · 51 benchmarks
nuScenes
The nuScenes dataset is a large-scale autonomous driving dataset.
Images3DPoint cloudTrackingLiDARObject DetectionInstance Segmentation3D Object DetectionSemi-Supervised Semantic SegmentationTrajectory Prediction3D Semantic Segmentation+13 tasks
2,139 papers · 21 benchmarks
ADE20K
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels.
Semantic SegmentationInstance SegmentationImage-to-Image TranslationSemi-Supervised Semantic SegmentationPanoptic SegmentationScene Understanding+19 tasks
1,213 papers · 32 benchmarks
SemanticKITTI
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation.
LiDARSemi-Supervised Semantic SegmentationPanoptic Segmentation3D Semantic SegmentationGeneralized Zero-Shot Learning3D Semantic Scene CompletionLIDAR Semantic Segmentation+5 tasks
669 papers · 10 benchmarks
2D-3D-S (2D-3D-Semantic)
The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations.
ImagesSemantic SegmentationDepth EstimationSemi-Supervised Semantic SegmentationSelf-Supervised LearningVisual Navigation3D Room Layouts From A Single RGB Panorama+2 tasks
147 papers · 6 benchmarks
WoodScape
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications.
ImagesObject DetectionSemantic SegmentationSemi-Supervised Semantic SegmentationAutonomous Driving
55 papers · 1 benchmark
ImageNet-S (ImageNet Semantic Segmentation)
Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks.
ImagesSemantic SegmentationSemi-Supervised Semantic SegmentationUnsupervised Semantic SegmentationZero-Shot Transfer Image ClassificationPrompt Engineering
43 papers · 6 benchmarks
SUIM (Segmentation of Underwater IMagery)
The Segmentation of Underwater IMagery (SUIM) dataset contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants, wrecks/ruins, human divers, robots, and…
ImagesSemantic SegmentationSemi-Supervised Semantic SegmentationUnsupervised Semantic SegmentationScene UnderstandingSaliency Prediction
34 papers · 2 benchmarks
2017 Robotic Instrument Segmentation Challenge
Segmentation of robotic instruments is an important problem for robotic assisted minimially invasive surgery.
Semi-Supervised Semantic SegmentationPaper generation
22 papers · 2 benchmarks
Kvasir-Instrument
Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc.
BiomedicalMedicalSemantic SegmentationMedical Image SegmentationSemi-Supervised Semantic SegmentationReal-Time Object DetectionReal-Time Semantic SegmentationInstrument Recognition
19 papers · 3 benchmarks
ScribbleKITTI
ScribbleKITTI is a scribble-annotated dataset for LiDAR semantic segmentation.
Semi-Supervised Semantic Segmentation3D Semantic SegmentationWeakly-Supervised Semantic SegmentationLIDAR Semantic SegmentationWeakly Supervised 3D Point Cloud Segmentation
19 papers · 2 benchmarks
KiTS19 (The 2019 Kidney and Kidney Tumor Segmentation Challenge)
The 2021 Kidney and Kidney Tumor Segmentation challenge (abbreviated KiTS21) is a competition in which teams compete to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
3DMedicalSemi-Supervised Semantic Segmentation3D Semantic Segmentation3D Medical Imaging Segmentation
7 papers · 1 benchmark
Dronescapes
a large video dataset captured with UAVs in different complex real-world scenes, with multiple representations, suitable for multi-task learning.
ImagesRGB VideoSemantic SegmentationSemi-Supervised Semantic SegmentationMulti-Task Learning
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.