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Semantic Segmentation datasets
archive 2025-07-28347 datasets carry the task tag "Semantic Segmentation" (the task itself: Semantic Segmentation), ordered by the archive's paper count. Page 4 of 8: 48 shown of 347. 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
Semantic Segmentation datasets 145–192 of 347
The TrashCan dataset is an instance-segmentation dataset of underwater trash.
12 papers · 0 benchmarks
WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution 2D images and dense 3D LiDAR point clouds, and accurate 6-DoF…
12 papers · 2 benchmarks
LandCover.ai (Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery)
The LandCover.ai (Land Cover from Aerial Imagery) dataset is a dataset for automatic mapping of buildings, woodlands, water and roads from aerial images.
11 papers · 1 benchmark
RailSem19 (RailSem19: A Dataset for Semantic Rail Scene Understanding)
RailSem19 offers 8500 unique images taken from a the ego-perspective of a rail vehicle (trains and trams).
11 papers · 0 benchmarks
The SD-198 dataset contains 198 different diseases from different types of eczema, acne and various cancerous conditions.
11 papers · 0 benchmarks
So2Sat LCZ42 consists of local climate zone (LCZ) labels of about half a million Sentinel-1 and Sentinel-2 image patches in 42 urban agglomerations (plus 10 additional smaller areas) across the globe.
11 papers · 1 benchmark
TACO is a growing image dataset of waste in the wild.
11 papers · 0 benchmarks
2-PM Vessel is an open-source volumetric brain vasculature dataset obtained with two-photon microscopy at Focused Ultrasound Lab, at Sunnybrook Research Institute (affiliated with University of Toronto by Dr.
10 papers · 0 benchmarks
We release expert-made scribble annotations for the medical ACDC dataset [1].
10 papers · 1 benchmark
The CropAndWeed dataset is focused on the fine-grained identification of 74 relevant crop and weed species with a strong emphasis on data variability.
10 papers · 0 benchmarks
The dataset was created using high-resolution (8 m) satellite imagery from the Gaofen series (Gaofen-2 and Gaofen-6), captured in 2019 over Maduo County, China, located in the Yellow River source area.
10 papers · 1 benchmark
The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images.
10 papers · 3 benchmarks
SpaceNet 2 (SpaceNet 2: Building Detection v2)
SpaceNet 2: Building Detection v2 - is a dataset for building footprint detection in geographically diverse settings from very high resolution satellite images.
10 papers · 1 benchmark
The AIRS (Aerial Imagery for Roof Segmentation) dataset provides a wide coverage of aerial imagery with 7.5 cm resolution and contains over 220,000 buildings.
9 papers · 1 benchmark
A high-resolution semantic segmentation dataset with 50 validation and 100 test objects.
9 papers · 1 benchmark
BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G…
9 papers · 0 benchmarks
EgoHOS (Fine-Grained Egocentric Hand-Object Segmentation Dataset)
EgoHOS is a labeled dataset consisting of 11243 egocentric images with per-pixel segmentation labels of hands and objects being interacted with during a diverse array of daily activities.
9 papers · 0 benchmarks
The EntitySeg dataset contains 33,227 images with high-quality mask annotations.
9 papers · 0 benchmarks
PerSeg is a dataset for personalized segmentation.
9 papers · 1 benchmark
PhenoBench (PhenoBench — A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain)
The PhenoBench dataset contains multiple image segmentation challenges from the agricultural domain.
9 papers · 0 benchmarks
SAMRS is a remote sensing segmentation dataset which provides object category, location, and instance information that can be used for semantic segmentation, instance segmentation, and object detection, either individually or in…
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
TSSB (Time Series Segmentation Benchmark)
The time series segmentation benchmark (TSSB) currently contains 75 annotated time series (TS) with 1-9 segments.
9 papers · 1 benchmark
UIIS (General Underwater Image Instance Segmentation dataset)
This is the first general Underwater Image Instance Segmentation (UIIS) dataset containing 4,628 images for 7 categories with pixel-level annotations for underwater instance segmentation task
9 papers · 1 benchmark
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
Echocardiography, or cardiac ultrasound, is the most widely used and readily available imaging modality to assess cardiac function and structure.
8 papers · 0 benchmarks
X-ray images in this data set have been acquired from the tuberculosis control program of the Department of Health andHuman Services of Montgomery County, MD, USA.
8 papers · 1 benchmark
The RIT-18 dataset was built for the semantic segmentation of remote sensing imagery.
8 papers · 0 benchmarks
SynthCity is a 367.9M point synthetic full colour Mobile Laser Scanning point cloud.
8 papers · 0 benchmarks
Research on semantic segmentation of traffic scenes using color and polarization information (including training and testing sets).
8 papers · 1 benchmark
NDD20 (Northumberland Dolphin Dataset 2020)
Northumberland Dolphin Dataset 2020 (NDD20) is a challenging image dataset annotated for both coarse and fine-grained instance segmentation and categorisation.
7 papers · 0 benchmarks
OST300 is an outdoor scene dataset with 300 test images of outdoor scenes, and a training set of 7 categories of images with rich textures.
7 papers · 0 benchmarks
OpenEDS2020 is a dataset of eye-image sequences captured at a frame rate of 100 Hz under controlled illumination, using a virtual-reality head-mounted display mounted with two synchronized eye-facing cameras.
7 papers · 0 benchmarks
A database of images of approximately 960 unique plants belonging to 12 species at several growth stages is made publicly available.
7 papers · 0 benchmarks
The Sunnybrook Cardiac Data (SCD), also known as the 2009 Cardiac MR Left Ventricle Segmentation Challenge data, consist of 45 cine-MRI images from a mixed of patients and pathologies: healthy, hypertrophy, heart failure with infarction…
7 papers · 0 benchmarks
EarthVQA (A multi-modal multi-task VQA dataset for remote sensing)
Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoning.
6 papers · 1 benchmark
The Freiburg Forest dataset was collected using a Viona autonomous mobile robot platform equipped with cameras for capturing multi-spectral and multi-modal images.
6 papers · 2 benchmarks
GFF (Global Flood Forecasting)
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences.
6 papers · 1 benchmark
MatterportLayout extends the Matterport3D dataset with general Manhattan layout annotations.
6 papers · 0 benchmarks
Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories.
6 papers · 0 benchmarks
SWIMSEG (Singapore Whole sky IMaging SEGmentation Database)
The SWIMSEG dataset contains 1013 images of sky/cloud patches, along with their corresponding binary segmentation maps.
6 papers · 1 benchmark
VDD (Varied Drone Dataset for Semantic Segmentation)
Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential seman- tic details to understand scenes on the ground.
6 papers · 1 benchmark
XImageNet-12 (XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation)
Enlarge the dataset to understand how image background effect the Computer Vision ML model.
6 papers · 1 benchmark
25kTrees (Individual Tree Crown Annotations)
Manual crown delineation of individual trees in two countries: Denmark and Finland.
5 papers · 0 benchmarks
BUP20 (Sweet Pepper 2020 University of Bonn)
Video sequences from a glasshouse environment in Campus Kleinaltendorf(CKA), University of Bonn, captured by PATHoBot, a glasshouse monitoring robot.
5 papers · 0 benchmarks
BRATS 2014 is a brain tumor segmentation dataset.
5 papers · 1 benchmark
The dataset offers tag and mask annotations for image-text pairs from the CC3M validation set.
5 papers · 2 benchmarks
Cata7 is the first cataract surgical instrument dataset for semantic segmentation.
5 papers · 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.