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Image Clustering datasets

archive 2025-07-28

44 datasets carry the task tag "Image Clustering" (the task itself: Image Clustering), ordered by the archive's paper count. Page 1 of 1: 44 shown of 44. 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.

Image Clustering datasets 1–44 of 44

CIFAR-10

description withheld: archive row vandalised before snapshot

Images Image Classification Classification Image Generation Zero-Shot Learning Anomaly Detection Image Retrieval+58 tasks

16,145 papers · 91 benchmarks

ImageNet

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.

Images Image Classification Classification Image Generation Zero-Shot Learning Visual Question Answering (VQA)Few-Shot Image Classification+37 tasks

15,430 papers · 52 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.

Images Image Classification Classification Image Generation Zero-Shot Learning Anomaly Detection Few-Shot Image Classification+37 tasks

9,045 papers · 51 benchmarks

MNIST

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.

Images Image Classification Speech Recognition Question Answering Image Generation Text Classification Anomaly Detection+55 tasks

7,651 papers · 44 benchmarks

KITTI

KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.

Images LiDAR Object Detection Semantic Segmentation Pose Estimation Object Tracking 3D Object Detection Image Super-Resolution+41 tasks

3,661 papers · 137 benchmarks

Fashion-MNIST

Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category.

Images Image Classification Image Generation Anomaly Detection Image Clustering Out-of-Distribution Detection Domain Generalization+11 tasks

3,202 papers · 15 benchmarks

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.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Image Retrieval Few-Shot Learning+29 tasks

2,235 papers · 47 benchmarks

UCF101 (UCF101 Human Actions dataset)

UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories.

Videos Zero-Shot Learning Action Recognition Temporal Action Localization Few-Shot Learning Image Clustering Skeleton Based Action Recognition+16 tasks

1,863 papers · 23 benchmarks

Kinetics (Kinetics Human Action Video Dataset)

The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos.

Videos Action Recognition Temporal Action Localization Image Clustering Skeleton Based Action Recognition Video Retrieval Action Classification+24 tasks

1,341 papers · 18 benchmarks

Oxford 102 Flower (102 Category Flower Dataset)

Oxford 102 Flower is an image classification dataset consisting of 102 flower categories.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Few-Shot Learning Continual Learning+10 tasks

1,307 papers · 16 benchmarks

Tiny ImageNet

Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images.

Images Image Classification Image Clustering Conditional Image Generation Self-Supervised Learning Weakly-Supervised Object Localization Personalized Federated Learning+1 tasks

1,232 papers · 7 benchmarks

STL-10 (Self-Taught Learning 10)

The STL-10 is an image dataset derived from ImageNet and popularly used to evaluate algorithms of unsupervised feature learning or self-taught learning.

Images Image Classification Image Generation Anomaly Detection Semi-Supervised Image Classification Image Clustering Out-of-Distribution Detection+12 tasks

1,092 papers · 18 benchmarks

DTD (Describable Textures Dataset)

The Describable Textures Dataset (DTD) contains 5640 texture images in the wild.

Images Image Classification Classification Zero-Shot Learning Few-Shot Learning Image Clustering Neural Architecture Search+3 tasks

870 papers · 8 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.

Images Image Classification Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification+10 tasks

805 papers · 14 benchmarks

Stanford Cars

The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear.

Images Image Classification Image Generation Zero-Shot Learning Few-Shot Image Classification Few-Shot Learning Continual Learning+7 tasks

790 papers · 13 benchmarks

Caltech-101

The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that contains the images not from the 101 object categories.

Images Zero-Shot Learning Semi-Supervised Image Classification Image Clustering Fine-Grained Image Classification Unsupervised Anomaly Detection Transductive Zero-Shot Classification+3 tasks

709 papers · 10 benchmarks

EuroSAT

Eurosat is a dataset and deep learning benchmark for land use and land cover classification.

Images Image Classification Classification Semantic Segmentation Zero-Shot Learning Few-Shot Learning Image Clustering+4 tasks

687 papers · 8 benchmarks

FGVC-Aircraft

FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which are airplanes.

Images Image Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification Neural Architecture Search+5 tasks

520 papers · 12 benchmarks

USPS

USPS is a digit dataset automatically scanned from envelopes by the U.S.

Images Domain Adaptation Image Clustering Deep Clustering

459 papers · 2 benchmarks

GTSRB (German Traffic Sign Recognition Benchmark)

The German Traffic Sign Recognition Benchmark (GTSRB) contains 43 classes of traffic signs, split into 39,209 training images and 12,630 test images.

Images Image Classification Domain Adaptation Image Clustering Traffic Sign Recognition

374 papers · 5 benchmarks

HAR (Human Activity Recognition Using Smartphones)

The Human Activity Recognition Dataset has been collected from 30 subjects performing six different activities (Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying).

Time series Image Clustering Human Activity Recognition Recognizing And Localizing Human Actions

307 papers · 3 benchmarks

EMNIST (Extended MNIST)

EMNIST (extended MNIST) has 4 times more data than MNIST.

Images Image Classification Image Generation Image Clustering Fine-Grained Image Classification Dimensionality Reduction

264 papers · 10 benchmarks

RESISC45

RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC).

Images Image Classification Image Clustering Transductive Zero-Shot Classification Zero-shot Classification (unified classes)Scene Classification

187 papers · 3 benchmarks

Extended Yale B

The Extended Yale B database contains 2414 frontal-face images with size 192×168 over 38 subjects and about 64 images per subject.

Images Image Classification Image Clustering Face Recognition Dictionary Learning

185 papers · 1 benchmark

Hateful Memes

The Hateful Memes data set is a multimodal dataset for hateful meme detection (image + text) that contains 10,000+ new multimodal examples created by Facebook AI.

Images Texts Emotion Recognition Image Clustering Image Captioning Meme Classification Hateful Meme Classification Misinformation

177 papers · 3 benchmarks

FER2013 (Facial Expression Recognition 2013 Dataset)

Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral.

Images Emotion Recognition Image Clustering Facial Expression Recognition (FER)Image Compression Facial Expression Recognition

168 papers · 5 benchmarks

PCam (PatchCamelyon)

PatchCamelyon is an image classification dataset.

Images Medical Image Classification Image Clustering Image Compression Breast Tumour Classification

110 papers · 4 benchmarks

FRGC (Face Recognition Grand Challenge)

The data for FRGC consists of 50,000 recordings divided into training and validation partitions.

Images Image Clustering

102 papers · 1 benchmark

Kinetics-700

Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes.

Videos Action Recognition Temporal Action Localization Image Clustering Action Classification Video Generation Semantic Object Interaction Classification

95 papers · 3 benchmarks

Birdsnap

Birdsnap is a large bird dataset consisting of 49,829 images from 500 bird species with 47,386 images used for training and 2,443 images used for testing.

Images Image Clustering Fine-Grained Image Classification

72 papers · 2 benchmarks

Oxford-IIIT Pets

The Oxford-IIIT Pet Dataset is a 37-category pet dataset with roughly 200 images for each class.

Image Classification Zero-Shot Learning Image Clustering Fine-Grained Image Classification Neural Architecture Search Transductive Zero-Shot Classification+2 tasks

59 papers · 5 benchmarks

Stanford Dogs

The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into 12,000 images for training and 8,580 images for testing.

Images Image Generation Few-Shot Image Classification Image Clustering Fine-Grained Image Classification Fine-Grained Visual Recognition

57 papers · 6 benchmarks

SUN397

The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images.

Images Image Classification Zero-Shot Learning Few-Shot Learning Image Clustering Fine-Grained Image Classification Transductive Zero-Shot Classification+3 tasks

52 papers · 8 benchmarks

Letter (Letter Recognition Data Set)

Letter Recognition Data Set is a handwritten digit dataset.

Images Image Clustering Core set discovery

49 papers · 2 benchmarks

CARS196

CARS196 is composed of 16,185 car images of 196 classes.

Image Classification Image Retrieval Image Clustering Metric Learning

43 papers · 4 benchmarks

ImageNet-100 (TEMI Split)

This split was introduced in TEMI (BMVC 2023) Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann.

Image Classification Image Clustering Self-Supervised Learning Open-World Semi-Supervised Learning

12 papers · 4 benchmarks

Fashion 144K

Fashion 144K is a novel heterogeneous dataset with 144,169 user posts containing diverse image, textual and meta information.

Image Clustering Semantic Parsing Topic Models

11 papers · 0 benchmarks

ImageNet-50 (TEMI Split)

The ImageNet-50 dataset split as introduced in TEMI.

Image Clustering

4 papers · 1 benchmark

Country211

Country211 is a dataset released by OpenAI, designed to assess the geolocation capability of visual representations.

Images Image Clustering Zero-Shot Image Classification

3 papers · 2 benchmarks

UMIST

The Sheffield (previously UMIST) Face Database consists of 564 images of 20 individuals (mixed race/gender/appearance).

Images Image Clustering

3 papers · 1 benchmark

Rendered SST2

The Rendered SST2 dataset is a dataset released by OpenAI, that measures the optical character recognition capability of visual representations.

Images Texts Image Clustering

2 papers · 1 benchmark

Cards

Card is a dataset of playing card images, which consists of 8,029 images with two clusterings, i.e., rank (Ace, King, Queen, etc.) and suits (clubs, diamonds, hearts, spades).

Image Clustering

1 paper · 0 benchmarks

NIH 3T3 microtubule cell dataset

The data consists of 21 images of microtubules in PFA-fixed NIH 3T3 mouse embryonic fibroblasts (DSMZ: ACC59) labeled with a mouse anti-alpha-tubulin monoclonal IgG1 antibody (Thermofisher A11126, primary antibody) and visualized by a…

Images 2D Object Detection Image Clustering

1 paper · 0 benchmarks

SPOT-10 (Animal Pattern Benchmark Dataset for Machine Learning Algorithms)

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species.

Images Image Classification Classification Image Generation Anomaly Detection Graph Classification Continual Learning+3 tasks

1 paper · 1 benchmark

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.

Image Clustering datasets

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Image Clustering datasets 1–44 of 44