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Real-Time Semantic Segmentation datasets

archive 2025-07-28

12 datasets carry the task tag "Real-Time Semantic Segmentation" (the task itself: Real-Time Semantic Segmentation), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. 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 52Real-Time Semantic Segmentation 12

Real-Time Semantic Segmentation datasets 1–12 of 12

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
NYUv2 (NYU-Depth V2)
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.
RGB-DSemantic SegmentationInstance Segmentation3D Object DetectionDepth EstimationPanoptic SegmentationMonocular Depth Estimation+12 tasks
986 papers · 16 benchmarks
COCO-Stuff (Common Objects in COntext-stuff)
The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and image captioning.
ImagesSemantic SegmentationImage-to-Image TranslationUnsupervised Semantic SegmentationOpen Vocabulary Semantic SegmentationUnsupervised Semantic Segmentation with Language-image Pre-trainingLayout-to-Image Generation+4 tasks
338 papers · 17 benchmarks
CamVid (Cambridge-driving Labeled Video Database)
CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with a 960×720 resolution camera mounted on the dashboard of a car.
ImagesVideosSemantic Segmentation2D Semantic SegmentationReal-Time Semantic SegmentationVideo Semantic Segmentation
227 papers · 4 benchmarks
Kvasir-SEG
Kvasir-SEG is an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an experienced gastroenterologist.
BiomedicalMedicalObject DetectionSemantic SegmentationMedical Image SegmentationReal-Time Object DetectionReal-Time Semantic SegmentationColorectal Polyps Characterization+2 tasks
201 papers · 2 benchmarks
Kvasir (The Kvasir Dataset)
The KVASIR Dataset was released as part of the medical multimedia challenge presented by MediaEval.
ImagesVideosImage ClassificationObject DetectionSemantic SegmentationMedical Image SegmentationReal-Time Object DetectionReal-Time Semantic Segmentation+3 tasks
117 papers · 1 benchmark
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
FLAME (Fire Luminosity Airborne-based Machine learning Evaluation)
FLAME is a fire image dataset collected by drones during a prescribed burning piled detritus in an Arizona pine forest.
ImagesReal-Time Semantic Segmentation
12 papers · 1 benchmark
HelixNet (HelixNet: A Dataset for Online LiDAR Segmentation)
Large-scale and open-access LiDAR dataset intended for the evaluation of real-time semantic segmentation algorithms.
LiDARSemantic SegmentationReal-Time Semantic Segmentation
3 papers · 1 benchmark
KvasirCapsule-SEG
The dataset contains a Video capsule endoscopy dataset for polyp segmentation.
ImagesBiomedicalMedicalCadSemantic SegmentationMedical Image SegmentationReal-Time Semantic SegmentationColorectal Polyps Characterization
3 papers · 1 benchmark
Medico automatic polyp segmentation challenge (dataset)
The “Medico automatic polyp segmentation challenge” aims to develop computer-aided diagnosis systems for automatic polyp segmentation to detect all types of polyps (for example, irregular polyp, smaller or flat polyps) with high efficiency…
ImagesBiomedicalMedicalSemantic SegmentationMedical Image SegmentationReal-Time Semantic Segmentation
3 papers · 1 benchmark
Endotect Polyp Segmentation Challenge Dataset
A challenge that consists of three tasks, each targeting a different requirement for in-clinic use.
ImagesBiomedicalMedicalImage ClassificationObject DetectionSemantic SegmentationMedical Image SegmentationReal-Time Object DetectionReal-Time Semantic Segmentation
2 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.