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Image Classification datasets
archive 2025-07-28283 datasets carry the task tag "Image Classification" (the task itself: Image Classification), ordered by the archive's paper count. Page 2 of 6: 48 shown of 283. 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 50 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 52
Image Classification datasets 49–96 of 283
The Stylized-ImageNet dataset is created by removing local texture cues in ImageNet while retaining global shape information on natural images via AdaIN style transfer.
106 papers · 1 benchmark
Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions.
103 papers · 6 benchmarks
The image dataset TinyImages contains 80 million images of size 32×32 collected from the Internet, crawling the words in WordNet.
103 papers · 0 benchmarks
CIFAR-10N (Real-World Human Annotations)
This work presents two new benchmark datasets (CIFAR-10N, CIFAR-100N), equipping the training dataset of CIFAR-10 and CIFAR-100 with human-annotated real-world noisy labels that we collect from Amazon Mechanical Turk.
97 papers · 6 benchmarks
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images).
97 papers · 2 benchmarks
The Oxford-IIIT Pet Dataset has 37 categories with roughly 200 images for each class.
90 papers · 5 benchmarks
ImageNet-O consists of images from classes that are not found in the ImageNet-1k dataset.
89 papers · 0 benchmarks
AbstractReasoning is a dataset for abstract reasoning, where the goal is to infer the correct answer from the context panels based on abstract reasoning.
86 papers · 0 benchmarks
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.
85 papers · 3 benchmarks
ChestX-ray8 is a medical imaging dataset which comprises 108,948 frontal-view X-ray images of 32,717 (collected from the year of 1992 to 2015) unique patients with the text-mined eight common disease labels, mined from the text…
81 papers · 0 benchmarks
The PlantVillage dataset consists of 54303 healthy and unhealthy leaf images divided into 38 categories by species and disease.
68 papers · 1 benchmark
CIFAR-100N (Real-World Human Annotations)
This work presents two new benchmark datasets (CIFAR-10N, CIFAR-100N), equipping the training dataset of CIFAR-10 and CIFAR-100 with human-annotated real-world noisy labels that we collect from Amazon Mechanical Turk.
66 papers · 1 benchmark
The Places365 dataset is a scene recognition dataset.
65 papers · 7 benchmarks
The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class.
59 papers · 5 benchmarks
WOS (Web of Science Dataset)
Web of Science (WOS) is a document classification dataset that contains 46,985 documents with 134 categories which include 7 parents categories.
59 papers · 4 benchmarks
PGM (Procedurally Generated Matrices (PGM))
PGM dataset serves as a tool for studying both abstract reasoning and generalisation in models.
57 papers · 0 benchmarks
MINC (Materials in Context Database)
MINC is a large-scale, open dataset of materials in the wild.
56 papers · 0 benchmarks
Tiny ImageNet-C is an open-source data set comprising algorithmically generated corruptions applied to the Tiny ImageNet (ImageNet-200) test set comprising 200 classes following the concept of ImageNet-C.
55 papers · 0 benchmarks
52 papers · 1 benchmark
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images.
52 papers · 8 benchmarks
CARS196 is composed of 16,185 car images of 196 classes.
43 papers · 4 benchmarks
JFT-3B is an internal Google dataset and a larger version of the JFT-300M dataset.
41 papers · 0 benchmarks
Million-AID is a large-scale benchmark dataset containing a million instances for RS scene classification.
41 papers · 0 benchmarks
Visual Wake Words represents a common microcontroller vision use-case of identifying whether a person is present in the image or not, and provides a realistic benchmark for tiny vision models.
40 papers · 1 benchmark
Imagenette is a subset of 10 easily classified classes from Imagenet (bench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).
38 papers · 1 benchmark
The SUN Attribute dataset consists of 14,340 images from 717 scene categories, and each category is annotated with a taxonomy of 102 discriminate attributes.
38 papers · 2 benchmarks
Open Images V4 offers large scale across several dimensions: 30.1M image-level labels for 19.8k concepts, 15.4M bounding boxes for 600 object classes, and 375k visual relationship annotations involving 57 classes.
37 papers · 1 benchmark
Imagenet64 is a massive dataset of small images called the down-sampled version of Imagenet.
35 papers · 1 benchmark
ImageNet-P consists of noise, blur, weather, and digital distortions.
32 papers · 1 benchmark
Omni-Realm Benchmark (OmniBenchmark) is a diverse (21 semantic realm-wise datasets) and concise (realm-wise datasets have no concepts overlapping) benchmark for evaluating pre-trained model generalization across semantic…
29 papers · 1 benchmark
Dataset with 28,792 retinal images from the EyePACS dataset, based on a three-level quality grading system (i.e., Good', Usable' and Reject') for evaluating RIQA methods.
28 papers · 0 benchmarks
iNat2021 (iNaturalist 2021)
iNat2021 is a large-scale image dataset collected and annotated by community scientists that contains over 2.7M images from 10k different species.
27 papers · 0 benchmarks
Object detection benchmark for logo detection.
26 papers · 3 benchmarks
The exact pre-processing steps used to construct the MNIST dataset have long been lost.
26 papers · 2 benchmarks
UrbanCars facilitates multi-shortcut learning under the controlled setting with two shortcuts—background and co-occurring object.
26 papers · 0 benchmarks
BAM! (Behance Artistic Media)
The Behance Artistic Media dataset (BAM!) is a large-scale dataset of contemporary artwork from Behance, a website containing millions of portfolios from professional and commercial artists.
25 papers · 0 benchmarks
ELEVATER (Evaluation of Language-augmented Visual Task-level Transfer)
The ELEVATER benchmark is a collection of resources for training, evaluating, and analyzing language-image models on image classification and object detection.
25 papers · 2 benchmarks
ImageNet-W (ImageNet-Watermark)
ImageNet-W(atermark) is a test set to evaluate models’ reliance on the newly found watermark shortcut in ImageNet, which is used to predict the carton class.
23 papers · 0 benchmarks
IP102 contains more than 75,000 images belonging to 102 categories, which exhibit a natural long-tailed distribution.
22 papers · 0 benchmarks
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.
22 papers · 3 benchmarks
LAG (Large-scale Attention based Glaucoma)
Includes 5,824 fundus images labeled with either positive glaucoma (2,392) or negative glaucoma (3,432).
21 papers · 1 benchmark
A composite dataset that unifies semantic segmentation datasets from different domains.
21 papers · 0 benchmarks
ETHOS (multi-labEl haTe speecH detectiOn dataSet)
ETHOS is a hate speech detection dataset.
20 papers · 2 benchmarks
PlantDoc is a dataset for visual plant disease detection.
20 papers · 1 benchmark
Chaoyang dataset contains 1111 normal, 842 serrated, 1404 adenocarcinoma, 664 adenoma, and 705 normal, 321 serrated, 840 adenocarcinoma, 273 adenoma samples for training and testing, respectively.
19 papers · 2 benchmarks
DeepFish as a benchmark suite with a large-scale dataset to train and test methods for several computer vision tasks.
19 papers · 1 benchmark
An annotated image memorability dataset to date (with 60,000 labeled images from a diverse array of sources).
18 papers · 0 benchmarks
MLRSNet is a a multi-label high spatial resolution remote sensing dataset for semantic scene understanding.
17 papers · 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.