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Multi-Modal Document Classification datasets

archive 2025-07-28

6 datasets carry the task tag "Multi-Modal Document Classification" (the task itself: Multi-Modal Document Classification), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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-Modal Document Classification 6

Multi-Modal Document Classification datasets 1–6 of 6

CUB-200-2011 (Caltech-UCSD Birds-200-2011)
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task.
ImagesImage ClassificationImage GenerationZero-Shot LearningFew-Shot Image ClassificationImage RetrievalFew-Shot Learning+29 tasks
2,235 papers · 47 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
RVL-CDIP
The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc.
ImagesDocument Image ClassificationDocument Layout AnalysisMulti-Modal Document Classification
107 papers · 2 benchmarks
Reuters-21578
The Reuters-21578 dataset is a collection of documents with news articles.
GraphsText ClassificationUnsupervised Anomaly DetectionDocument ClassificationMulti-Label Text ClassificationText RetrievalMulti-Modal Document Classification+1 tasks
66 papers · 5 benchmarks
Tobacco-3482
The Tobacco-3482 dataset consists of document images belonging to 10 classes such as letter, form, email, resume, memo, etc.
Document Text ClassificationDocument Image ClassificationMulti-Modal Document Classification
5 papers · 2 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.