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Image Retrieval datasets
archive 2025-07-2887 datasets carry the task tag "Image Retrieval" (the task itself: Image Retrieval), ordered by the archive's paper count. Page 1 of 2: 48 shown of 87. 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 Retrieval datasets 1–48 of 87
description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 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.
2,235 papers · 47 benchmarks
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.
880 papers · 9 benchmarks
The iNaturalist 2017 dataset (iNat) contains 675,170 training and validation images from 5,089 natural fine-grained categories.
603 papers · 12 benchmarks
DeepFashion is a dataset containing around 800K diverse fashion images with their rich annotations (46 categories, 1,000 descriptive attributes, bounding boxes and landmark information) ranging from well-posed product images to…
397 papers · 5 benchmarks
The NUS-WIDE dataset contains 269,648 images with a total of 5,018 tags collected from Flickr.
348 papers · 3 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
Stanford Online Products (SOP) dataset has 22,634 classes with 120,053 product images.
231 papers · 5 benchmarks
In-Shop (In-shop Clothes Retrieval Benchmark)
In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval.
154 papers · 2 benchmarks
Oxford5k (Oxford Buildings)
Oxford5K is the Oxford Buildings Dataset, which contains 5062 images collected from Flickr.
137 papers · 1 benchmark
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
Fashion IQ support and advance research on interactive fashion image retrieval.
102 papers · 6 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
90 papers · 13 benchmarks
WIT (Wikipedia-based Image Text)
Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset.
79 papers · 1 benchmark
73 papers · 3 benchmarks
InLoc is a dataset with reference 6DoF poses for large-scale indoor localization.
67 papers · 1 benchmark
We propose Localized Narratives, a new form of multimodal image annotations connecting vision and language.
63 papers · 3 benchmarks
CIRR (Compose Image Retrieval on Real-life images)
Composed Image Retrieval (or, Image Retreival conditioned on Language Feedback) is a relatively new retrieval task, where an input query consists of an image and short textual description of how to modify the image.
61 papers · 3 benchmarks
The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!.
50 papers · 0 benchmarks
Oxford105k is the combination of the Oxford5k dataset and 99782 negative images crawled from Flickr using 145 most popular tags.
44 papers · 0 benchmarks
CARS196 is composed of 16,185 car images of 196 classes.
43 papers · 4 benchmarks
Fashion-Gen consists of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by professional stylists.
36 papers · 0 benchmarks
CIRCO (Composed Image Retrieval on Common Objects in context)
CIRCO (Composed Image Retrieval on Common Objects in context) is an open-domain benchmarking dataset for Composed Image Retrieval (CIR) based on real-world images from COCO 2017 unlabeled set.
35 papers · 1 benchmark
This is the second version of the Google Landmarks dataset (GLDv2), which contains images annotated with labels representing human-made and natural landmarks.
35 papers · 4 benchmarks
Spot-the-diff is a dataset consisting of 13,192 image pairs along with corresponding human provided text annotations stating the differences between the two images.
35 papers · 0 benchmarks
DeepFashion2 is a versatile benchmark of four tasks including clothes detection, pose estimation, segmentation, and retrieval.
30 papers · 0 benchmarks
ShoeV2 is a dataset of 2,000 photos and 6648 sketches of shoes.
30 papers · 0 benchmarks
The Google Landmarks dataset contains 1,060,709 images from 12,894 landmarks, and 111,036 additional query images.
24 papers · 0 benchmarks
COCO-CN is a bilingual image description dataset enriching MS-COCO with manually written Chinese sentences and tags.
21 papers · 1 benchmark
PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging.
20 papers · 2 benchmarks
OVEN (Open-domain Visual Entity Recognition)
In this project, we formally present the task of Open-domain Visual Entity recognitioN (OVEN), where a model need to link an image onto a Wikipedia entity with respect to a text query.
19 papers · 1 benchmark
ICFG-PEDES (Identity-Centric and Fine-Grained Person Description Dataset)
One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval.
16 papers · 3 benchmarks
A dataset containing 404,683 shop photos collected from 25 different online retailers and 20,357 street photos, providing a total of 39,479 clothing item matches between street and shop photos.
15 papers · 1 benchmark
VegFru is a domain-specific dataset for fine-grained visual categorization.
14 papers · 0 benchmarks
Visual Madlibs is a dataset consisting of 360,001 focused natural language descriptions for 10,738 images.
13 papers · 0 benchmarks
ImageCoDe (Image Retrieval from Contextual Descriptions)
Given 10 minimally contrastive (highly similar) images and a complex description for one of them, the task is to retrieve the correct image.
11 papers · 1 benchmark
AmsterTime (AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift)
AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical archival image data from Amsterdam city.
9 papers · 3 benchmarks
Consists of 330,000 sketches and 204,000 photos spanning across 110 categories.
9 papers · 0 benchmarks
SketchyScene is a large-scale dataset of scene sketches to advance research on sketch understanding at both the object and scene level.
9 papers · 0 benchmarks
ETH SfM (ETH Structure-from-Motion)
The ETH SfM (structure-from-motion) dataset is a dataset for 3D Reconstruction.
8 papers · 0 benchmarks
Flickr30k-CNA (Flickr30k-Chinese All)
Former Flickr30k-CN translates the training and validation sets of Flickr30k using machine translation and manually translates the test set.
7 papers · 1 benchmark
The Hotels-50K dataset consists of over 1 million images from 50,000 different hotels around the world.
7 papers · 0 benchmarks
Large Scale Composed Image Retrieval (LaSCo) is a new dataset for Composed Image Retrieval (CoIR), x10 times larger than current ones.
7 papers · 1 benchmark
The Oxford-Affine dataset is a small dataset containing 8 scenes with sequence of 6 images per scene.
7 papers · 0 benchmarks
The Retrieval-SFM dataset is used for instance image retrieval.
7 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
6 papers · 1 benchmark
This dataset contains 114 individuals including 1824 images captured from two disjoint camera views.
5 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.