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Long-tail Learning datasets

archive 2025-07-28

16 datasets carry the task tag "Long-tail Learning" (the task itself: Long-tail Learning), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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 52Long-tail Learning 16

Long-tail Learning datasets 1–16 of 16

CIFAR-10
description withheld: archive row vandalised before snapshot
ImagesImage ClassificationClassificationImage GenerationZero-Shot LearningAnomaly DetectionImage Retrieval+58 tasks
16,145 papers · 91 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
CelebA (CelebFaces Attributes Dataset)
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels indicating facial attributes like hair color, gender and age.
ImagesImage ClassificationImage GenerationImage Super-ResolutionFace AlignmentLong-tail LearningImage Inpainting+14 tasks
3,477 papers · 17 benchmarks
Kinetics (Kinetics Human Action Video Dataset)
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos.
VideosAction RecognitionTemporal Action LocalizationImage ClusteringSkeleton Based Action RecognitionVideo RetrievalAction Classification+24 tasks
1,341 papers · 18 benchmarks
iNaturalist
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories.
ImagesImage ClassificationImage GenerationFew-Shot Image ClassificationImage RetrievalFine-Grained Image ClassificationLong-tail Learning+1 tasks
603 papers · 12 benchmarks
ImageNet-LT (ImageNet Long-Tailed)
ImageNet Long-Tailed is a subset of /dataset/imagenet dataset consisting of 115.8K images from 1000 categories, with maximally 1280 images per class and minimally 5 images per class.
Long-tail LearningConditional Image GenerationLong-tail learning with class descriptorsTest Agnostic Long-Tailed Learning
219 papers · 3 benchmarks
EGTEA (EGTEA Gaze+)
Extended GTEA Gaze+ EGTEA Gaze+ is a large-scale dataset for FPV actions and gaze.
Long-tail LearningAction AnticipationEgocentric Activity Recognition
100 papers · 3 benchmarks
Places-LT
Places-LT has an imbalanced training set with 62,500 images for 365 classes from Places-2.
ImagesLong-tail Learning
80 papers · 1 benchmark
Animal Kingdom
Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of natural animal behaviors.
ImagesVideosPose EstimationAction RecognitionLong-tail Learning2D Pose EstimationAnimal Pose EstimationVideo Grounding+2 tasks
26 papers · 2 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
NIH-CXR-LT (Long-tailed (LT) NIH ChestXRay14)
NIH-CXR-LT.
ImagesMedicalImage ClassificationLong-tail LearningMedical Image Classification
5 papers · 1 benchmark
MIMIC-CXR-LT (long-tailed version of MIMIC-CXR)
MIMIC-CXR-LT.
ImagesMedicalImage ClassificationLong-tail LearningMedical Image Classification
4 papers · 1 benchmark
mini-ImageNet-LT
mini-ImageNet was proposed by Matching networks for one-shot learning for few-shot learning evaluation, in an attempt to have a dataset like ImageNet while requiring fewer resources.
ImagesLong-tail Learning
2 papers · 1 benchmark
Imbalanced-MiniKinetics200
Imbalanced-MiniKinetics200 was proposed by "Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition" to evaluate varying scenarios of video long-tailed recognition.
Long-tail LearningVideo Recognitionimbalanced classification
1 paper · 0 benchmarks
Lot-insts (Long-Tailed instituition names)
LoT-insts contains over 25k classes whose frequencies are naturally long-tail distributed.
Text ClassificationLong-tail Learning
1 paper · 2 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.