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Unsupervised Pre-training datasets

archive 2025-07-28

7 datasets carry the task tag "Unsupervised Pre-training" (the task itself: Unsupervised Pre-training), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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 Pre-training 7

Unsupervised Pre-training datasets 1–7 of 7

m2caiSeg
Created from endoscopic video feeds of real-world surgical procedures.
Semantic SegmentationData AugmentationUnsupervised Pre-training
5 papers · 0 benchmarks
CARLANE Benchmark
Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains.
ImagesDomain Adaptation2D Semantic SegmentationTransfer LearningLane DetectionAutonomous DrivingSelf-Supervised Learning+1 tasks
4 papers · 3 benchmarks
GBUSV (Gallbladder Ultrasound Videos)
Description GBUSV is a un-annotated dataset consisting of ultrasound videos of of patients with either of a malignant or a non-malignant gallbladder.
Unsupervised Pre-training
2 papers · 0 benchmarks
OADAT (OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing)
An experimental and synthetic (simulated) OA raw signals and reconstructed image domain datasets rendered with different experimental parameters and tomographic acquisition geometries.
ImagesMedicalSemantic SegmentationImage-to-Image TranslationImage ReconstructionSelf-Supervised LearningUnsupervised Pre-training
2 papers · 0 benchmarks
Icon645
Icon645 is a large-scale dataset of icon images that cover a wide range of objects: 645,687 colored icons 377 different icon classes These collected icon classes are frequently mentioned in the IconQA questions.
ImagesImage ClassificationUnsupervised Pre-training
1 paper · 0 benchmarks
SECO (Seasonal Contrast)
Read more about the dataset here: https://github.com/ServiceNow/seasonal-contrast
Satellite Image ClassificationUnsupervised Pre-training
1 paper · 0 benchmarks
TYC Dataset (The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures)
We introduce the trapped yeast cell (TYC) dataset, a novel dataset for understanding instance-level semantics and motions of cells in microstructures.
ImagesVideosInstance SegmentationPanoptic SegmentationRepresentation LearningCell SegmentationUnsupervised Pre-trainingUnsupervised Image Segmentation
1 paper · 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.