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Images datasets
archive 2025-07-283,239 datasets carry the modality tag "Images", ordered by the archive's paper count. Page 3 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.
Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
Images datasets 97–144 of 3,239
MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes.
289 papers · 5 benchmarks
Clothing1M contains 1M clothing images in 14 classes.
288 papers · 4 benchmarks
DUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images.
286 papers · 5 benchmarks
The Shanghaitech dataset is a large-scale crowd counting dataset.
277 papers · 5 benchmarks
PASCAL-S is a dataset for salient object detection consisting of a set of 850 images from PASCAL VOC 2010 validation set with multiple salient objects on the scenes.
271 papers · 3 benchmarks
ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes.
268 papers · 3 benchmarks
DensePose (DensePose-COCO)
DensePose-COCO is a large-scale ground-truth dataset with image-to-surface correspondences manually annotated on 50K COCO images and train DensePose-RCNN, to densely regress part-specific UV coordinates within every human region at…
265 papers · 1 benchmark
AwA (Animals with Attributes)
Animals with Attributes (AwA) was a dataset for benchmarking transfer-learning algorithms, in particular attribute base classification.
264 papers · 3 benchmarks
EMNIST (Extended MNIST)
EMNIST (extended MNIST) has 4 times more data than MNIST.
264 papers · 10 benchmarks
BSDS500 (Berkeley Segmentation Dataset 500)
Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection.
261 papers · 8 benchmarks
NAS-Bench-201 is a benchmark (and search space) for neural architecture search.
260 papers · 4 benchmarks
VizWiz (VizWiz-VQA)
The VizWiz-VQA dataset originates from a natural visual question answering setting where blind people each took an image and recorded a spoken question about it, together with 10 crowdsourced answers per visual question.
260 papers · 7 benchmarks
LOL (LOw-Light dataset)
The LOL dataset is composed of 500 low-light and normal-light image pairs and divided into 485 training pairs and 15 testing pairs.
257 papers · 2 benchmarks
The MS-Celeb-1M dataset is a large-scale face recognition dataset consists of 100K identities, and each identity has about 100 facial images.
257 papers · 0 benchmarks
Foggy Cityscapes is a synthetic foggy dataset which simulates fog on real scenes.
249 papers · 7 benchmarks
HPatches (Homography-patches dataset)
The HPatches is a recent dataset for local patch descriptor evaluation that consists of 116 sequences of 6 images with known homography.
248 papers · 4 benchmarks
The ICDAR 2013 dataset consists of 229 training images and 233 testing images, with word-level annotations provided.
246 papers · 3 benchmarks
IJB-C (IARPA Janus Benchmark-C)
The IJB-C dataset is a video-based face recognition dataset.
246 papers · 3 benchmarks
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations.
246 papers · 7 benchmarks
SIDD (Smartphone Image Denoising Dataset)
SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras.
245 papers · 2 benchmarks
The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old).
243 papers · 4 benchmarks
YFCC100M is a that dataset contains a total of 100 million media objects, of which approximately 99.2 million are photos and 0.8 million are videos, all of which carry a Creative Commons license.
243 papers · 0 benchmarks
MathVista (Mathematical Reasoning of in Visual Contexts)
MathVista is a consolidated Mathematical reasoning benchmark within Visual contexts.
242 papers · 0 benchmarks
The LIDC-IDRI dataset contains lesion annotations from four experienced thoracic radiologists.
240 papers · 6 benchmarks
MIMIC-CXR from Massachusetts Institute of Technology presents 371,920 chest X-rays associated with 227,943 imaging studies from 65,079 patients.
240 papers · 3 benchmarks
GOT-10k (Generic Object Tracking Benchmark)
The GOT-10k dataset contains more than 10,000 video segments of real-world moving objects and over 1.5 million manually labelled bounding boxes.
239 papers · 2 benchmarks
ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text…
237 papers · 6 benchmarks
The Pascal3D+ multi-view dataset consists of images in the wild, i.e., images of object categories exhibiting high variability, captured under uncontrolled settings, in cluttered scenes and under many different poses.
237 papers · 1 benchmark
The Sketch dataset contains over 20,000 sketches evenly distributed over 250 object categories.
237 papers · 1 benchmark
TUM RGB-D is an RGB-D dataset.
235 papers · 1 benchmark
AwA2 (Animals with Attributes 2)
Animals with Attributes 2 (AwA2) is a dataset for benchmarking transfer-learning algorithms, such as attribute base classification and zero-shot learning.
231 papers · 5 benchmarks
DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and 20 for testing).
231 papers · 4 benchmarks
Stanford Online Products (SOP) dataset has 22,634 classes with 120,053 product images.
231 papers · 5 benchmarks
CamVid (Cambridge-driving Labeled Video Database)
CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with a 960×720 resolution camera mounted on the dashboard of a car.
227 papers · 4 benchmarks
FlyingThings3D is a synthetic dataset for optical flow, disparity and scene flow estimation.
226 papers · 0 benchmarks
HKU-IS is a visual saliency prediction dataset which contains 4447 challenging images, most of which have either low contrast or multiple salient objects.
226 papers · 3 benchmarks
Middlebury (Middlebury Stereo)
The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data.
223 papers · 5 benchmarks
VisDA-2017 is a simulation-to-real dataset for domain adaptation with over 280,000 images across 12 categories in the training, validation and testing domains.
223 papers · 6 benchmarks
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing.
220 papers · 3 benchmarks
The DUT-OMRON dataset is used for evaluation of Salient Object Detection task and it contains 5,168 high quality images.
214 papers · 4 benchmarks
TrackingNet is a large-scale tracking dataset consisting of videos in the wild.
210 papers · 2 benchmarks
HAM10000 is a dataset of 10000 training images for detecting pigmented skin lesions.
209 papers · 2 benchmarks
FairFace is a face image dataset which is race balanced.
208 papers · 1 benchmark
AI2D (AI2 Diagrams)
AI2 Diagrams (AI2D) is a dataset of over 5000 grade school science diagrams with over 150000 rich annotations, their ground truth syntactic parses, and more than 15000 corresponding multiple choice questions.
207 papers · 1 benchmark
300W (300 Faces-In-The-Wild)
The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images.
206 papers · 9 benchmarks
CIFAR-FS (CIFAR100 few-shots)
CIFAR100 few-shots (CIFAR-FS) is randomly sampled from CIFAR-100 (Krizhevsky & Hinton, 2009) by using the same criteria with which miniImageNet has been generated.
206 papers · 2 benchmarks
LAION 5B is a large-scale dataset for research purposes consisting of 5,85B CLIP-filtered image-text pairs.
205 papers · 0 benchmarks
COCO Captions contains over one and a half million captions describing over 330,000 images.
203 papers · 4 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.