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Zero-Shot Transfer Image Classification datasets

archive 2025-07-28

8 datasets carry the task tag "Zero-Shot Transfer Image Classification" (the task itself: Zero-Shot Transfer Image Classification), 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 52Zero-Shot Transfer Image Classification 8

Zero-Shot Transfer Image Classification datasets 1–8 of 8

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
Food-101
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images.
ImagesImage ClassificationClassificationZero-Shot LearningFew-Shot LearningImage ClusteringFine-Grained Image Classification+10 tasks
805 papers · 14 benchmarks
ImageNet-R (ImageNet-Rendition)
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
ImagesUnsupervised Domain AdaptationDomain GeneralizationZero-Shot Transfer Image ClassificationPrompt EngineeringZero-Shot Composed Image Retrieval (ZS-CIR)Zero-shot Image Retrieval
481 papers · 5 benchmarks
ImageNet-A
The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models.
ImagesUnsupervised Domain AdaptationDomain GeneralizationZero-Shot Transfer Image ClassificationPrompt EngineeringAdversarial Robustness
431 papers · 5 benchmarks
ImageNet-Sketch
ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes.
ImagesImage ClassificationDomain AdaptationDomain GeneralizationZero-Shot Transfer Image ClassificationData Augmentation
268 papers · 3 benchmarks
ObjectNet
ObjectNet is a test set of images collected directly using crowd-sourcing.
ImagesImage ClassificationZero-Shot Transfer Image ClassificationUnsupervised Image Classification
155 papers · 4 benchmarks
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
SUN (SUN Database)
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs.
ImagesFew-Shot Image ClassificationGeneralized Few-Shot LearningZero-Shot Transfer Image ClassificationLong-tail learning with class descriptors
31 papers · 4 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.