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Colorectal Polyps Characterization datasets

archive 2025-07-28

8 datasets carry the task tag "Colorectal Polyps Characterization" (the task itself: Colorectal Polyps Characterization), 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 52Colorectal Polyps Characterization 8

Colorectal Polyps Characterization datasets 1–8 of 8

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
UNITOPATHO
Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma.
ImagesMedicalColorectal Polyps Characterization
8 papers · 0 benchmarks
CRC
Request access: cadpath.ai@impdiagnostics.com The CRC dataset contains 1133 colorectal biopsy and polypectomy slides and is the result of our ongoing efforts to contribute to CRC diagnosis with a reference dataset.
ImagesMedicalColorectal Polyps Characterization
5 papers · 0 benchmarks
Kvasir-Sessile dataset (Sessile polyps from Kvasir-SEG)
The Kvasir-SEG dataset includes 196 polyps smaller than 10 mm classified as Paris class 1 sessile or Paris class IIa.
ImagesBiomedicalMedicalSemantic SegmentationMedical Image SegmentationColorectal Polyps Characterization
5 papers · 0 benchmarks
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
PolypGen
Polyps in the colon are widely known cancer precursors identified by colonoscopy.
ImagesVideosVideo Polyp SegmentationColorectal Polyps CharacterizationPolyp Segmentation
3 papers · 1 benchmark
Kvasir-Capsule
Kvasir-Capsule dataset is the largest publicly released VCE dataset.
ImagesBiomedicalMedicalImage ClassificationObject DetectionGeneral ClassificationColorectal Polyps Characterization
2 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.