Home › Datasets › modality › Images
Images datasets
archive 2025-07-283,239 datasets carry the modality tag "Images", ordered by the archive's paper count. Page 4 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 145–192 of 3,239
YouTube-VOS 2018 (Youtube Video Object Segmentation)
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 for testing.
203 papers · 10 benchmarks
LSP (Leeds Sports Pose)
The Leeds Sports Pose (LSP) dataset is widely used as the benchmark for human pose estimation.
202 papers · 1 benchmark
The HELEN dataset is composed of 2330 face images of 400×400 pixels with labeled facial components generated through manually-annotated contours along eyes, eyebrows, nose, lips and jawline.
201 papers · 1 benchmark
MPI (Max Planck Institute) Sintel is a dataset for optical flow evaluation that has 1064 synthesized stereo images and ground truth data for disparity.
198 papers · 5 benchmarks
PASCAL VOC (PASCAL Visual Object Classes Challenge)
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, boat, bus, car, motorbike, train, bottle, chair, dining table, potted plant, sofa,…
198 papers · 18 benchmarks
CINIC-10 is a dataset for image classification.
197 papers · 3 benchmarks
The Moving MNIST dataset contains 10,000 video sequences, each consisting of 20 frames.
194 papers · 1 benchmark
MNIST-M is created by combining MNIST digits with the patches randomly extracted from color photos of BSDS500 as their background.
193 papers · 1 benchmark
The MOTChallenge datasets are designed for the task of multiple object tracking.
192 papers · 0 benchmarks
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online videos.
190 papers · 3 benchmarks
Celeb-DF is a large-scale challenging dataset for deepfake forensics.
187 papers · 0 benchmarks
RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC).
187 papers · 3 benchmarks
SUNCG is a large-scale dataset of synthetic 3D scenes with dense volumetric annotations.
186 papers · 0 benchmarks
The Extended Yale B database contains 2414 frontal-face images with size 192×168 over 38 subjects and about 64 images per subject.
185 papers · 1 benchmark
SA-1B consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks.
183 papers · 1 benchmark
OTB-2015, also referred as Visual Tracker Benchmark, is a visual tracking dataset.
182 papers · 1 benchmark
HICO-DET is a dataset for detecting human-object interactions (HOI) in images.
180 papers · 4 benchmarks
MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 years old.
180 papers · 8 benchmarks
FUNSD (Form Understanding in Noisy Scanned Documents)
Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms.
179 papers · 3 benchmarks
VCR (Visual Commonsense Reasoning)
Visual Commonsense Reasoning (VCR) is a large-scale dataset for cognition-level visual understanding.
179 papers · 13 benchmarks
The WebVision dataset is designed to facilitate the research on learning visual representation from noisy web data.
179 papers · 4 benchmarks
LabelMe database is a large collection of images with ground truth labels for object detection and recognition.
178 papers · 1 benchmark
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.
177 papers · 3 benchmarks
PASCAL-5i is a dataset used to evaluate few-shot segmentation.
177 papers · 1 benchmark
The UCF-QNRF dataset is a crowd counting dataset and it contains large diversity both in scenes, as well as in background types.
176 papers · 1 benchmark
R2R (Room-to-Room)
R2R is a dataset for visually-grounded natural language navigation in real buildings.
174 papers · 2 benchmarks
CAMELYON16 (Cancer Metastases in Lymph Nodes Challenge 2016)
The dataset consists of 400 whole-slide images (WSIs) of lymph node sections stained with hematoxylin and eosin (H&E), collected from two medical centers in the Netherlands.
172 papers · 1 benchmark
RAF-DB (Real-world Affective Faces)
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression.
172 papers · 3 benchmarks
The UCY dataset consist of real pedestrian trajectories with rich multi-human interaction scenarios captured at 2.5 Hz (Δt=0.4s).
170 papers · 1 benchmark
LAION-400M is a dataset with CLIP-filtered 400 million image-text pairs, their CLIP embeddings and kNN indices that allow efficient similarity search.
169 papers · 1 benchmark
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.
168 papers · 5 benchmarks
COD10K (Camouflaged/Concealed Object Detection)
Sensory ecologists have found that this s background matching camouflage strategy works by deceiving the visual perceptual system of the observer.
166 papers · 2 benchmarks
FDDB (Face Detection Dataset and Benchmark)
The Face Detection Dataset and Benchmark (FDDB) dataset is a collection of labeled faces from Faces in the Wild dataset.
165 papers · 1 benchmark
CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ.
164 papers · 5 benchmarks
The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation.
164 papers · 5 benchmarks
IJB-B (IARPA Janus Benchmark-B)
The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos where a template consists of a varying number of still images and video frames from different sources.
163 papers · 5 benchmarks
CrowdHuman is a large and rich-annotated human detection dataset, which contains 15,000, 4,370 and 5,000 images collected from the Internet for training, validation and testing respectively.
161 papers · 2 benchmarks
Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images.
161 papers · 2 benchmarks
SALICON (Salicency in Context)
The SALIency in CONtext (SALICON) dataset contains 10,000 training images, 5,000 validation images and 5,000 test images for saliency prediction.
161 papers · 5 benchmarks
V-COCO (Verbs in COCO)
Verbs in COCO (V-COCO) is a dataset that builds off COCO for human-object interaction detection.
159 papers · 1 benchmark
VisDial (Visual Dialog)
Visual Dialog (VisDial) dataset contains human annotated questions based on images of MS COCO dataset.
159 papers · 6 benchmarks
IJB-A (IARPA Janus Benchmark A)
The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition task by collecting facial images with a wide variations in pose, illumination, expression, resolution and occlusion.
156 papers · 2 benchmarks
Total-Text is a text detection dataset that consists of 1,555 images with a variety of text types including horizontal, multi-oriented, and curved text instances.
156 papers · 2 benchmarks
ObjectNet is a test set of images collected directly using crowd-sourcing.
155 papers · 4 benchmarks
SID (See-in-the-Dark)
The See-in-the-Dark (SID) dataset contains 5094 raw short-exposure images, each with a corresponding long-exposure reference image.
155 papers · 3 benchmarks
A-OKVQA is crowdsourced visual question answering dataset composed of a diverse set of about 25K questions requiring a broad base of commonsense and world knowledge to answer.
154 papers · 1 benchmark
AFLW (Annotated Facial Landmarks in the Wild)
The Annotated Facial Landmarks in the Wild (AFLW) is a large-scale collection of annotated face images gathered from Flickr, exhibiting a large variety in appearance (e.g., pose, expression, ethnicity, age, gender) as well as general…
154 papers · 11 benchmarks
AFW (Annotated Faces in the Wild)
AFW (Annotated Faces in the Wild) is a face detection dataset that contains 205 images with 468 faces.
154 papers · 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.