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Multiple Instance Learning datasets

archive 2025-07-28

13 datasets carry the task tag "Multiple Instance Learning" (the task itself: Multiple Instance Learning), ordered by the archive's paper count. Page 1 of 1: 13 shown of 13. 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 52Multiple Instance Learning 13

Multiple Instance Learning datasets 1–13 of 13

CAMELYON16 (Cancer Metastases in Lymph Nodes Challenge 2016)
The dataset consists of 400 whole-slide images (WSIs) of lymph node sections stained with hematoxylin and eosin (H&E), collected from two medical centers in the Netherlands.
ImagesMedicalMultiple Instance LearningBreast Cancer Detectionwhole slide images
172 papers · 1 benchmark
UCF-Crime
The UCF-Crime dataset is a large-scale dataset of 128 hours of videos.
VideosAnomaly DetectionVideo Anomaly DetectionSmall Data Image ClassificationAnomaly Detection In Surveillance VideosMultiple Instance Learning
142 papers · 3 benchmarks
AVE (Audio-Visual Event Localization)
To investigate three temporal localization tasks: supervised and weakly-supervised audio-visual event localization, and cross-modality localization.
Semantic SegmentationMultiple Instance LearningTemporal Localization
103 papers · 0 benchmarks
Elephant
The Elephant MIL dataset is a benchmark used in multiple instance learning (MIL), which falls under the broader categories of image classification and content-based image retrieval.
TabularMultiple Instance Learning
47 papers · 1 benchmark
TCGA (The Cancer Genome Atlas)
MedicalTabularClassificationMultiple Instance LearningCancer type classification
23 papers · 2 benchmarks
DAiSEE
DAiSEE is a multi-label video classification dataset comprising of 9,068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration "in the wild".
VideosSentiment AnalysisFacial Expression Recognition (FER)Multiple Instance LearningStudent Engagement Level Detection (Four Class Video Classification)
17 papers · 1 benchmark
Musk v1
The Musk dataset describes a set of molecules, and the objective is to detect musks from non-musks.
TabularAnomaly DetectionMultiple Instance Learning
4 papers · 2 benchmarks
Musk v2
The Musk2 dataset is a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-musks.
TabularMultiple Instance Learning
4 papers · 1 benchmark
SPOT (Sentiment Polarity Annotations Dataset)
The SPOT dataset contains 197 reviews originating from the Yelp'13 and IMDB collections ([1][2]), annotated with segment-level polarity labels (positive/neutral/negative).
TextsSentiment AnalysisMultiple Instance LearningDiscourse Parsing
3 papers · 0 benchmarks
Colorectal Adenoma
Colorectal Adenoma contains 177 whole slide images (156 contain adenoma) gathered and labelled by pathologists from the Department of Pathology, The Chinese PLA General Hospital.
ImagesMedicalSemantic SegmentationMultiple Instance Learning
2 papers · 0 benchmarks
Wiki-en
Wiki-en is an annotated English dataset for domain detection extracted from Wikipedia.
TextsText ClassificationText SummarizationMultiple Instance Learning
1 paper · 0 benchmarks
Wiki-zh
Wiki-zh is an annotated Chinese dataset for domain detection extracted from Wikipedia.
TextsText ClassificationText SummarizationMultiple Instance Learning
1 paper · 0 benchmarks
CamNuvem Dataset (CamNuvem: A Robbery Dataset for Video Anomaly Detection)
This dataset focuses only on the robbery category, presenting a new weakly labelled dataset that contains 486 new real–world robbery surveillance videos acquired from public sources.
VideosAnomaly DetectionVideo Anomaly DetectionAnomaly Detection In Surveillance VideosMultiple Instance Learning
0 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.