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Semi-Supervised Image Classification datasets

archive 2025-07-28

14 datasets carry the task tag "Semi-Supervised Image Classification" (the task itself: Semi-Supervised Image Classification), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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 Image Classification 14

Semi-Supervised Image Classification datasets 1–14 of 14

CIFAR-10
description withheld: archive row vandalised before snapshot
ImagesImage ClassificationClassificationImage GenerationZero-Shot LearningAnomaly DetectionImage Retrieval+58 tasks
16,145 papers · 91 benchmarks
ImageNet
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
ImagesImage ClassificationClassificationImage GenerationZero-Shot LearningVisual Question Answering (VQA)Few-Shot Image Classification+37 tasks
15,430 papers · 52 benchmarks
CIFAR-100
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.
ImagesImage ClassificationClassificationImage GenerationZero-Shot LearningAnomaly DetectionFew-Shot Image Classification+37 tasks
9,045 papers · 51 benchmarks
SVHN (Street View House Numbers)
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits (from 0 to 9) cropped from pictures of house number plates.
ImagesImage ClassificationAnomaly DetectionDomain AdaptationSemi-Supervised Image ClassificationUnsupervised Image ClassificationNovel Class Discovery+1 tasks
3,406 papers · 12 benchmarks
STL-10 (Self-Taught Learning 10)
The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or self-taught learning.
ImagesImage ClassificationImage GenerationAnomaly DetectionSemi-Supervised Image ClassificationImage ClusteringOut-of-Distribution Detection+12 tasks
1,092 papers · 18 benchmarks
Caltech-101
The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that contains the images not from the 101 object categories.
ImagesZero-Shot LearningSemi-Supervised Image ClassificationImage ClusteringFine-Grained Image ClassificationUnsupervised Anomaly DetectionTransductive Zero-Shot Classification+3 tasks
709 papers · 10 benchmarks
Caltech-256
Caltech-256 is an object recognition dataset containing 30,607 real-world images, of different sizes, spanning 257 classes (256 object classes and an additional clutter class).
ImagesImage ClassificationFew-Shot Image ClassificationSemi-Supervised Image Classification
401 papers · 4 benchmarks
Salinas (Salinas Scene)
Salinas Scene is a hyperspectral dataset collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels).
Hyperspectral imagesSemi-Supervised Image ClassificationHyperspectral Image Classification
15 papers · 3 benchmarks
Semi-iNat (Semi-Supervised iNaturalist)
Semi-iNat is a challenging dataset for semi-supervised classification with a long-tailed distribution of classes, fine-grained categories, and domain shifts between labeled and unlabeled data.
ImagesSemi-Supervised Image Classification
12 papers · 0 benchmarks
TMED (Tufts Medical Echocardiogram Dataset)
TMED is a clinically-motivated benchmark dataset for computer vision and machine learning from limited labeled data.
ImagesMedicalSemi-Supervised Image ClassificationSmall Data Image Classification
10 papers · 0 benchmarks
BIOSCAN-5M
As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, we present the BIOSCAN-5M Insect dataset to the machine learning community.
ImagesBiologyClassificationSemi-Supervised Image ClassificationDomain GeneralizationTransfer LearningHierarchical Multi-label ClassificationMultimodal Deep Learning+4 tasks
4 papers · 0 benchmarks
LIMUC (Labeled Images for Ulcerative Colitis)
The LIMUC dataset is the largest publicly available labeled ulcerative colitis dataset that compromises 11276 images from 564 patients and 1043 colonoscopy procedures.
ImagesBiomedicalMedicalImage ClassificationSemi-Supervised Image ClassificationMedical Image ClassificationSelf-Supervised LearningMedical Diagnosis
4 papers · 1 benchmark
BarkNet 1.0
23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada.
ImagesSemi-Supervised Image Classification
3 papers · 0 benchmarks
HeriGraph (Multimodal Machine Learning Datasets on Graphs of Heritage Values and Attributes)
The dataset contains constructed multi-modal features (visual and textual), pseudo-labels (on heritage values and attributes), and graph structures (with temporal, social, and spatial links) constructed using User-Generated Content data…
ImagesTextsGraphsEnvironmentNode ClassificationLink PredictionSemi-Supervised Image ClassificationNode ClusteringDynamic Link PredictionMulti-Modal Document Classification+2 tasks
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.