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Unsupervised Domain Adaptation datasets
archive 2025-07-2834 datasets carry the task tag "Unsupervised Domain Adaptation" (the task itself: Unsupervised Domain Adaptation), ordered by the archive's paper count. Page 1 of 1: 34 shown of 34. 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 51 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 52Unsupervised Domain Adaptation 34
Unsupervised Domain Adaptation datasets 1–34 of 34
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories.
1,074 papers · 11 benchmarks
Market-1501 is a large-scale public benchmark dataset for person re-identification.
873 papers · 9 benchmarks
DomainNet is a dataset of common objects in six different domain.
753 papers · 7 benchmarks
PACS (Photo-Art-Cartoon-Sketch)
PACS is an image dataset for domain generalization.
668 papers · 10 benchmarks
Office-31 (Office Dataset)
The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam.
643 papers · 7 benchmarks
ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set.
602 papers · 4 benchmarks
SYNTHIA (SYNTHetic Collection of Imagery and Annotations)
The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and comes with pixel-level semantic annotations for 13 classes.
538 papers · 10 benchmarks
ImageNet-R (ImageNet-Rendition)
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
481 papers · 5 benchmarks
The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models.
431 papers · 5 benchmarks
GTA5 (Grand Theft Auto 5)
The GTA5 dataset contains 24966 synthetic images with pixel level semantic annotation.
412 papers · 7 benchmarks
Foggy Cityscapes is a synthetic foggy dataset which simulates fog on real scenes.
249 papers · 7 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
This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS.
162 papers · 6 benchmarks
VehicleID (PKU VehicleID)
The “VehicleID” dataset contains CARS captured during the daytime by multiple real-world surveillance cameras distributed in a small city in China.
134 papers · 8 benchmarks
SIM10k is a synthetic dataset containing 10,000 images, which is rendered from the video game Grand Theft Auto V (GTA5).
92 papers · 3 benchmarks
VeRi-776 is a vehicle re-identification dataset which contains 49,357 images of 776 vehicles from 20 cameras.
79 papers · 1 benchmark
The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year.
42 papers · 3 benchmarks
SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations.
20 papers · 1 benchmark
Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a laptop camera or webcam.
16 papers · 6 benchmarks
Adaptiope is a domain adaptation dataset with 123 classes in the three domains synthetic, product and real life.
9 papers · 0 benchmarks
The Cross-dataset Testbed is a Decaf7 based cross-dataset image classification dataset, which contains 40 categories of images from 3 domains: 3,847 images in Caltech256, 4,000 images in ImageNet, and 2,626 images for SUN.
7 papers · 0 benchmarks
MegaAge is a large dataset that consists of 41,941 faces annotated with age posterior distributions.
7 papers · 0 benchmarks
The ClonedPerson dataset is a large-scale synthetic person re-identification dataset introduced in the paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification" in CVPR 2022.
6 papers · 4 benchmarks
Modern Office-31 is a refurbished version of the commonly used Office-31 dataset.
6 papers · 0 benchmarks
OOD-CV (Out Of Distribution Generalization in Computer Vision)
Enhancing the robustness of vision algorithms in real-world scenarios is challenging.
6 papers · 1 benchmark
Libri-Adapt aims to support unsupervised domain adaptation research on speech recognition models.
5 papers · 0 benchmarks
This dataset contains 114 individuals including 1824 images captured from two disjoint camera views.
5 papers · 1 benchmark
RoCoG-v2 (Robot Control Gestures)
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.
5 papers · 1 benchmark
The Sims4Action Dataset: a videogame-based dataset for Synthetic→Real domain adaptation for human activity recognition.
5 papers · 0 benchmarks
The Five-Billion-Pixels dataset contains more than 5 billion labeled pixels of 150 high-resolution Gaofen-2 (4 m) satellite images, annotated in a 24-category system covering artificial-constructed, agricultural, and natural classes.
3 papers · 0 benchmarks
MSDA (Multi-source domain adaptation dataset for text recognition)
5 domains: synthetic domain, document domain, street view domain, handwritten domain, and car license domain over five million images
2 papers · 2 benchmarks
CFC-DAOD (Caltech Fish Counting – Domain Adaptive Object Detection)
CFC-DAOD is a domain adaptation extension to the Caltech Fish Counting domain generalization benchmark.
1 paper · 1 benchmark
UDA-CH (Unsupervised Domain Adaptation on Cultural Heritage)
UDA-CH contains 16 objects that cover a variety of artworks which can be found in a museum like sculptures, paintings and books.
1 paper · 1 benchmark
A cross-city UDA benchmark built upon nuScenes.
1 paper · 0 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.