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Images datasets

archive 2025-07-28

3,239 datasets carry the modality tag "Images", ordered by the archive's paper count. Page 1 of 68: 48 shown of 3,239. 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.

Images datasets 1–48 of 3,239

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

COCO (Common Objects in Context)

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.

Images Videos Object Detection Semantic Segmentation Question Answering Pose Estimation Visual Question Answering (VQA)Instance Segmentation+54 tasks

11,922 papers · 77 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

Cityscapes

Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes.

Images Semantic Segmentation Image Generation 2D Semantic Segmentation Instance Segmentation Scene Parsing Image-to-Image Translation+27 tasks

3,702 papers · 51 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

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.

Images Image Classification Image Generation Image Super-Resolution Face Alignment Long-tail Learning Image Inpainting+14 tasks

3,477 papers · 17 benchmarks

SVHN (Street View House Numbers)

Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits (from 0 to 9) cropped from pictures of house number plates.

Images Image Classification Anomaly Detection Domain Adaptation Semi-Supervised Image Classification Unsupervised Image Classification Novel Class Discovery+1 tasks

3,406 papers · 12 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

nuScenes

The nuScenes dataset is a large-scale autonomous driving dataset.

Images 3D Point cloud Tracking LiDAR Object Detection Instance Segmentation 3D Object Detection Semi-Supervised Semantic Segmentation Trajectory Prediction 3D Semantic Segmentation+13 tasks

2,139 papers · 21 benchmarks

ShapeNet

ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the Toyota Technological Institute at Chicago, USA.

Images 3D Point cloud Semantic Segmentation 3D Reconstruction Novel View Synthesis Single-View 3D Reconstruction 3D Object Reconstruction Point Cloud Generation+3 tasks

1,947 papers · 13 benchmarks

Visual Question Answering (VQA)

Visual Question Answering (VQA) is a dataset containing open-ended questions about images.

Images Texts

1,834 papers · 0 benchmarks

ScanNet

ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data.

Images RGB-D Semantic Segmentation 3D Object Detection Depth Estimation 3D Reconstruction Panoptic Segmentation Scene Segmentation+11 tasks

1,595 papers · 21 benchmarks

FFHQ (Flickr-Faces-HQ)

Flickr-Faces-HQ (FFHQ) consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background.

Images Image Generation Image Super-Resolution Image Denoising Image Inpainting Facial Inpainting 3D-Aware Image Synthesis+1 tasks

1,468 papers · 17 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

Visual Genome

Visual Genome contains Visual Question Answering data in a multi-choice setting.

Images Texts Object Detection Visual Question Answering (VQA)Layout-to-Image Generation Scene Graph Generation Visual Relationship Detection Phrase Grounding+10 tasks

1,256 papers · 15 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

Places

The Places dataset is proposed for scene recognition and contains more than 2.5 million images covering more than 205 scene categories with more than 5,000 images per category.

Images Image Inpainting Cross-Domain Few-Shot Uncropping

1,151 papers · 4 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

Office-Home

Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories.

Images Domain Adaptation Unsupervised Domain Adaptation Domain Generalization Transfer Learning Multi-Source Unsupervised Domain Adaptation Partial Domain Adaptation+5 tasks

1,074 papers · 11 benchmarks

CelebA-HQ

The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution.

Images Image Generation Image Super-Resolution Image-to-Image Translation Image Inpainting Density Estimation Multimodal Unsupervised Image-To-Image Translation+2 tasks

954 papers · 13 benchmarks

Flickr30k

The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.

Images Texts Node Classification Image Retrieval Image Captioning Cross-Modal Retrieval Image-to-Text Retrieval Phrase Grounding+5 tasks

880 papers · 9 benchmarks

Market-1501

Market-1501 is a large-scale public benchmark dataset for person re-identification.

Images Person Re-Identification Unsupervised Domain Adaptation Unsupervised Person Re-Identification Pose Transfer Generalizable Person Re-identification

873 papers · 9 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

LSUN (Large-scale Scene UNderstanding Challenge)

The Large-scale Scene Understanding (LSUN) challenge aims to provide a different benchmark for large-scale scene classification and understanding.

Images Image Generation

867 papers · 10 benchmarks

LFW (Labeled Faces in the Wild)

The LFW dataset contains 13,233 images of faces collected from the web.

Images 3D Face Modelling Face Recognition Face Verification Quantization Lightweight Face Recognition Synthetic Face Recognition+4 tasks

820 papers · 12 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

Human3.6M

The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding images captured by a high-speed motion capture system.

Images Videos 3D Human Pose Estimation 3D Absolute Human Pose Estimation Video Prediction 2D Pose Estimation Human Pose Forecasting 3D Pose Estimation+10 tasks

783 papers · 13 benchmarks

DomainNet

DomainNet is a dataset of common objects in six different domain.

Images Domain Adaptation Unsupervised Domain Adaptation Domain Generalization Multi-Source Unsupervised Domain Adaptation Partial Domain Adaptation Universal Domain Adaptation+4 tasks

753 papers · 7 benchmarks

GQA

The GQA dataset is a large-scale visual question answering dataset with real images from the Visual Genome dataset and balanced question-answer pairs.

Images Texts Object Detection Visual Question Answering (VQA)Visual Question Answering Scene Graph Generation Graph Question Answering

749 papers · 8 benchmarks

BSD (Berkeley Segmentation Dataset)

BSD is a dataset used frequently for image denoising and super-resolution.

Images Image Super-Resolution Color Image Denoising Grayscale Image Denoising Image Denoising Blind Super-Resolution Density Estimation+3 tasks

718 papers · 48 benchmarks

Kinetics 400

The dataset contains 400 human action classes, with at least 400 video clips for each action.

Images Skeleton Based Action Recognition Action Classification Action Recognition In Videos Boundary Detection Self-Supervised Action Recognition Event Segmentation+1 tasks

712 papers · 0 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

PACS (Photo-Art-Cartoon-Sketch)

PACS is an image dataset for domain generalization.

Images Domain Adaptation Unsupervised Domain Adaptation Domain Generalization Source-Free Domain Adaptation Image to sketch recognition Single-Source Domain Generalization+3 tasks

668 papers · 10 benchmarks

CLEVR (Compositional Language and Elementary Visual Reasoning)

CLEVR (Compositional Language and Elementary Visual Reasoning) is a synthetic Visual Question Answering dataset.

Images Texts Image Generation Visual Question Answering (VQA)Visual Question Answering Visual Question Answering (VQA) Split A Visual Question Answering (VQA) Split B

657 papers · 3 benchmarks

DIV2K

DIV2K is a popular single-image super-resolution dataset which contains 1,000 images with different scenes and is splitted to 800 for training, 100 for validation and 100 for testing.

Images Denoising Image Super-Resolution JPEG Artifact Correction Image Rescaling Jpeg Compression Artifact Reduction

654 papers · 3 benchmarks

Office-31 (Office Dataset)

The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam.

Images Domain Adaptation Unsupervised Domain Adaptation Multi-Source Unsupervised Domain Adaptation Partial Domain Adaptation Universal Domain Adaptation Multi-target Domain Adaptation+3 tasks

643 papers · 7 benchmarks

CheXpert

The CheXpert dataset contains 224,316 chest radiographs of 65,240 patients with both frontal and lateral views available.

Images Medical Multi-Label Classification Concept-based Classification

628 papers · 3 benchmarks

iNaturalist

The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories.

Images Image Classification Image Generation Few-Shot Image Classification Image Retrieval Fine-Grained Image Classification Long-tail Learning+1 tasks

603 papers · 12 benchmarks

ImageNet-C

ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set.

Images Unsupervised Domain Adaptation Domain Generalization Adversarial Robustness Test-time Adaptation

602 papers · 4 benchmarks

Urban100

The Urban100 dataset contains 100 images of urban scenes.

Images Image Super-Resolution Color Image Denoising Grayscale Image Denoising Image Denoising Blind Super-Resolution Joint Demosaicing and Denoising+1 tasks

591 papers · 25 benchmarks

VoxCeleb2

VoxCeleb2 is a large scale speaker recognition dataset obtained automatically from open-source media.

Images Videos Texts Audio Speech Separation Speaker Verification Talking Head Generation

564 papers · 5 benchmarks

LVIS

LVIS is a dataset for long tail instance segmentation.

Images Object Detection Instance Segmentation Few-Shot Object Detection Unsupervised Object Detection Zero-Shot Object Detection Open Vocabulary Object Detection+3 tasks

551 papers · 12 benchmarks

VGGFace2 (Vggface2: A dataset for recognising faces across pose and age)

VGGFace2 is a large-scale face recognition dataset.

Images Image Super-Resolution Facial Inpainting Image Attribution

539 papers · 3 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.

Images datasets

Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets

Images datasets 1–48 of 3,239