Home › Datasets › task › Semantic Segmentation
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 7 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 289–336 of 347
BCSD (Bank Check Segmentation Dataset)
The dataset consists of images of 158 filled out bank checks containing various complex backgrounds, and handwritten text and signatures in the respective fields, along with both pixel-level and patch-level segmentation masks for the…
1 paper · 0 benchmarks
Burned Area Delineation from Satellite Imagery (A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery)
The dataset contains 73 satellite images of different forests damaged by wildfires across Europe with a resolution of up to 10m per pixel.
1 paper · 1 benchmark
This dataset contains synthetic images extracted from the CARLA simulator along with rich information extracted from the deferred rendering pipeline of Unreal Engine 4.
1 paper · 0 benchmarks
CCSE (Chinese Character Stroke Extraction)
Chinese Character Stroke Extraction (CCSE) is a benchmark containing two large-scale datasets: Kaiti CCSE (CCSE-Kai) and Handwritten CCSE (CCSE-HW).
1 paper · 0 benchmarks
CEMS-W (CEMS Wildires)
The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil.
1 paper · 1 benchmark
This is the dataset released along with the publication: CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation [[ArXiv]](https://arxiv.org/abs/2209.11359)…
1 paper · 0 benchmarks
Ciona17 is a semantic segmentation dataset with pixel-level annotations pertaining to invasive species in a marine environment.
1 paper · 0 benchmarks
1 paper · 0 benchmarks
DADE (Driving Agents in Dynamic Environments)
The DADE dataset, short for Driving Agents in Dynamic Environments, is a synthetic dataset designed for the training and evaluation of methods for the task of semantic segmentation in the context of autonomous driving agents navigating…
1 paper · 0 benchmarks
From DroneDeploy: We’ve collected a dataset of aerial orthomosaics and elevation images.
1 paper · 1 benchmark
EBHI-Seg is a dataset containing 5,170 images of six types of tumor differentiation stages and the corresponding ground truth images.
1 paper · 0 benchmarks
FP4S (Floor plan image segmentation via scribble-based semi-weakly-supervised learning)
We introduce a new style- and category-agnostic floor plan image parsing benchmark developed in collaboration with professional architectural designers.
1 paper · 1 benchmark
Freiburg Terrains consist of three parts: 3.7 hours of audio recordings of the microphone pointed at the robot wheels.
1 paper · 0 benchmarks
GUISS dataset (Meshes, textures, Blend files, stereo datasets, depth maps, depth estimations))
We provide all the expected data inputs to GUISS such as meshes, texture images, and blend files.
1 paper · 0 benchmarks
HASCD (Human Activity Segmentation Challenge Dataset)
HASCD (Human Activity Segmentation Challenge Dataset) contains 250 annotated multivariate time series capturing 10.7 h of real-world human motion smartphone sensor data from 15 bachelor computer science students.
1 paper · 0 benchmarks
Heritage Pointcloud Instance Collection dataset, acquired from two large buildings and annotated at a point-wise semantic level based on existent BIM models.
1 paper · 1 benchmark
HuTu 80 (HuTu 80 cell populations)
The image set contains 180 high-resolution color microscopic images of human duodenum adenocarcinoma HuTu 80 cell populations obtained in an in vitro scratch assay (for the details of the experimental protocol, we refer to (Liang et al.,…
1 paper · 1 benchmark
IndraEye (IndraEye: Infrared Electro-Optical Drone-based Aerial Object Detection Dataset)
Deep neural networks (DNNs) have demonstrated superior performance when trained on well-illuminated environments, given that the images are captured through an Electro-Optical (EO) camera, which offers rich texture content.
1 paper · 0 benchmarks
Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential semantic details to understand scenes on the ground.
1 paper · 0 benchmarks
LIB-HSI (RGB and Hyperspectral images of Building Facades)
The LIB-HSI dataset contains hyperspectral reflectance images and their corresponding RGB images of building façades in a light industrial environment.
1 paper · 0 benchmarks
MLS (Multiple Light Source)
The Multiple Light Source dataset (MLS) is a collection of 24 multiple object scenes each recorded under 18 multiple light source illumination scenarios.
1 paper · 0 benchmarks
MOSAD (Mobile Sensing Human Activity Data Set)
MOSAD (Mobile Sensing Human Activity Data Set) is a multi-modal, annotated time series (TS) data set that contains 14 recordings of 9 triaxial smartphone sensor measurements (126 TS) from 6 human subjects performing (in part) 3 motion…
1 paper · 0 benchmarks
MTNeuro is a multi-task neuroimaging benchmark built on volumetric, micrometer-resolution X-ray microtomography images spanning a large thalamocortical section of mouse brain, encompassing multiple cortical and subcortical regions.
1 paper · 0 benchmarks
Meta Omnium is a dataset-of-datasets spanning multiple vision tasks including recognition, keypoint localization, semantic segmentation and regression.
1 paper · 0 benchmarks
MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect patterns, a total of 38 defect patterns.
1 paper · 2 benchmarks
This dataset consists of four sets of flower images, from three different species: apple, peach, and pear, and accompanying ground truth images.
1 paper · 0 benchmarks
Multispectral and HD vineyard orthomosaics from central Portugal - Mulstispectral and HD orthomosaics - 2 distinct vineyards - ground-truth masks for row detection
1 paper · 0 benchmarks
The Swiss Drone data set was recorded around Cheseaux-sur-Lausanne in Switzerland using a senseFly eBee Classic in 2014 (SenseFly, 2020).
1 paper · 1 benchmark
Panoramic Video Panoptic Segmentation Dataset is a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving.
1 paper · 0 benchmarks
This dataset was built with data acquired at the Hospital Clinic of Barcelona, Spain.
1 paper · 0 benchmarks
Risk-Aware Planning is a dataset that contains the overhead images and their semantic segmentation captured by a drone from the CityEnviron environment in AirSim simulator.
1 paper · 0 benchmarks
SBCoseg (SBCoseg Dataset)
The SBCoseg dataset includes 889 groups of images and each group consists of 18 images with a common object, leading to 16002 images in total.
1 paper · 1 benchmark
1 paper · 0 benchmarks
Test dataset for Semantic Segmentation.
1 paper · 0 benchmarks
SemanticSugarBeets, a novel and high-quality dataset containing 953 monocular RGB images and 2920 annotations of sugar beets, enables a wide range of learning tasks including object detection, semantic segmentation, instance segmentation…
1 paper · 0 benchmarks
SemanticUSL is a dataset for domain adaptation for LiDAR point cloud semantic segmentation.
1 paper · 0 benchmarks
Sen4AgriNet (A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning)
A Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning.
1 paper · 0 benchmarks
Photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems.
1 paper · 0 benchmarks
High-resolution thermal infrared face database with extensive manual annotations, introduced by Kopaczka et al, 2018.
1 paper · 0 benchmarks
The TimberVision dataset consists of more than 2k annotated RGB images and contains a total of 51k trunk components including cut and lateral surfaces, thereby surpassing any existing dataset in this domain in terms of both quantity and…
1 paper · 0 benchmarks
Tinto (Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences)
The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models.
1 paper · 0 benchmarks
The dataset contains procedurally generated images of transparent vessels containing liquid and objects .
1 paper · 1 benchmark
The semantic segmentation of clothes is a challenging task due to the wide variety of clothing styles, layers and shapes.
1 paper · 1 benchmark
This dataset extends the Semantic Segmentation of Underwater Imagery: Dataset and Benchmark, adding an uncertainty evaluation component.
1 paper · 0 benchmarks
VizWiz-FewShot is a a few-shot localization dataset originating from photographers who authentically were trying to learn about the visual content in the images they took.
1 paper · 0 benchmarks
A balanced dataset of color names and RGB values for training classifiers.
1 paper · 0 benchmarks
The Aachen-Heerlen annotated steel microstructure dataset comprises 1,705 scanning electron microscopy (SEM) images of bainitic steel samples.
0 papers · 0 benchmarks
This dataset is the images of corn seeds considering the top and bottom view independently (two images for one corn seed: top and bottom).
0 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.