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Multi-Label Image Classification datasets

archive 2025-07-28

10 datasets carry the task tag "Multi-Label Image Classification" (the task itself: Multi-Label Image Classification), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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 52Multi-Label Image Classification 10

Multi-Label Image Classification datasets 1–10 of 10

COCO (Common Objects in Context)
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
ImagesVideosObject DetectionSemantic SegmentationQuestion AnsweringPose EstimationVisual Question Answering (VQA)Instance Segmentation+54 tasks
11,922 papers · 77 benchmarks
MSCOCO
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
Object DetectionImage RetrievalImage CaptioningCross-Modal RetrievalWeakly Supervised Object DetectionMulti-Label Image Classification+7 tasks
90 papers · 13 benchmarks
BigEarthNet
BigEarthNet consists of 590,326 Sentinel-2 image patches, each of which is a section of i) 120x120 pixels for 10m bands; ii) 60x60 pixels for 20m bands; and iii) 20x20 pixels for 60m bands.
ImagesHyperspectral imagesImage ClassificationSemantic SegmentationMulti-Label Image ClassificationScene Classification
85 papers · 3 benchmarks
VizWiz-Classification
Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform well on images from another domain.
ImagesImage ClassificationMulti-Label ClassificationDomain GeneralizationMulti-Label Image Classification
22 papers · 3 benchmarks
COCO-MLT
The COCO-MLT is created from MS COCO-2017, containing 1,909 images from 80 classes.
ImagesZero-Shot LearningLong-tail LearningMulti-Label Image Classification
12 papers · 2 benchmarks
VOC-MLT
We construct the long-tailed version of VOC from its 2012 train-val set.
ImagesZero-Shot LearningLong-tail LearningMulti-Label Image Classification
12 papers · 2 benchmarks
Sewer-ML
Sewer-ML is a sewer defect dataset.
ImagesImage ClassificationMulti-Label ClassificationMulti-Label Image Classification
5 papers · 0 benchmarks
Bengali.AI Handwritten Graphemes
This dataset contains images of individual hand-written Bengali characters.
ImagesMulti-Label Image ClassificationBangla Text Detection
3 papers · 1 benchmark
dacl10k (dacl10k: Dataset for Semantic Bridge Damage Segmentation)
dacl10k stands for damage classification 10k images and is a multi-label semantic segmentation dataset for 19 classes (13 damages and 6 objects) present on bridges.
ImagesSemantic SegmentationMulti-Label Image Classification
2 papers · 0 benchmarks
LADI v2 (Low Altitude Disaster Imagery v2)
LADI Overview The Low Altitude Disaster Imagery (LADI) dataset was created to address the relative lack of annotated post-disaster aerial imagery in the computer vision community.
ImagesMulti-Label Image Classification
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.