Home › Datasets › task › Semantic Segmentation
Semantic Segmentation datasets
archive 2025-07-28
347 datasets carry the task tag "Semantic Segmentation" (the task itself: Semantic Segmentation), ordered by the archive's paper count. Page 5 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
Semantic Segmentation datasets 193–240 of 347
GolfDB is a high-quality video dataset created for general recognition applications in the sport of golf, and specifically for the task of golf swing sequencing.
5 papers · 0 benchmarks
IDDA is a large scale, synthetic dataset for semantic segmentation with more than 100 different source visual domains.
5 papers · 0 benchmarks
Consists of user-generated aerial videos from social media with annotations of instance-level building damage masks.
5 papers · 0 benchmarks
The Kvasir-SEG dataset includes 196 polyps smaller than 10 mm classified as Paris class 1 sessile or Paris class IIa.
5 papers · 0 benchmarks
LaRS (Lakes, Rivers and Seas Dataset)
LaRS is the largest and most diverse panoptic maritime obstacle detection dataset.
5 papers · 3 benchmarks
LabPics (LabPics Dataset for computer vision for autonomous chemistry labs and medical labs)
LabPics Chemistry Dataset Dataset for computer vision for materials segmentation and classification in chemistry labs, medical labs, and any setting where materials are handled inside containers.
5 papers · 0 benchmarks
The Market1501-Attributes dataset is built from the Market1501 dataset.
5 papers · 1 benchmark
NERDS 360 (NeRF for Reconstruction, Decomposition and Scene Synthesis of 360° outdoor scenes)
We present a large-scale dataset for 3D urban scene understanding.
5 papers · 0 benchmarks
A dataset which contains over 200 apartments.
5 papers · 0 benchmarks
SWINSEG (Singapore Whole sky Nighttime Image SEGmentation Database)
The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps.
5 papers · 1 benchmark
SpaceNet 1: Building Detection v1 is a dataset for building footprint detection.
5 papers · 2 benchmarks
TAS500 is a semantic segmentation dataset for autonomous driving in unstructured environments.
5 papers · 0 benchmarks
UPLight is an underwater RGB-Polarization multimodal semantic segmentation dataset with 12 typical underwater semantic classes.
5 papers · 1 benchmark
WGISD (Embrapa Wine Grape Instance Segmentation Dataset)
Embrapa Wine Grape Instance Segmentation Dataset (WGISD) contains grape clusters properly annotated in 300 images and a novel annotation methodology for segmentation of complex objects in natural images.
5 papers · 0 benchmarks
ZeroWaste is a dataset for automatic waste detection and segmentation.
5 papers · 0 benchmarks
Created from endoscopic video feeds of real-world surgical procedures.
5 papers · 0 benchmarks
AeroRIT is a hyperspectral dataset to facilitate aerial hyperspectral scene understanding.
4 papers · 0 benchmarks
We present the CrackVision12k dataset, a collection of 12,000 crack images derived from 13 publicly available crack datasets.
4 papers · 1 benchmark
The images in DukeMTMC-attribute dataset comes from Duke University.
4 papers · 1 benchmark
EDEN (Enclosed garDEN) is a multimodal synthetic dataset, a dataset for nature-oriented applications.
4 papers · 0 benchmarks
Cholecystectomy is a very common abdominal surgical procedure almost ubiquitously performed with a laparoscopic approach, hence guided by an endoscopic video.
4 papers · 1 benchmark
The French National Institute of Geographical and Forest Information (IGN) has the mission to document and measure land-cover on French territory and provides referential geographical datasets, including high-resolution aerial images and…
4 papers · 1 benchmark
The dataset consists of 96 terrain-corrected (Level-1T) scenes from Landsat 8 OLI and TIRS, covering diverse biomes.
4 papers · 1 benchmark
MCubeS (P) (Multimodal Material Segmentation Dataset)
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes.
4 papers · 1 benchmark
MJU-Waste is an RGBD waste object segmentation dataset that is made public to facilitate future research in this area.
4 papers · 1 benchmark
MUAD (Multiple Uncertainties for Autonomous Driving)
The MUAD dataset (Multiple Uncertainties for Autonomous Driving), consisting of 10,413 realistic synthetic images with diverse adverse weather conditions (night, fog, rain, snow), out-of-distribution objects, and annotations for semantic…
4 papers · 0 benchmarks
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types of illumination (daytime, nighttime).
4 papers · 5 benchmarks
The Middlebury 2001 is a stereo dataset of indoor scenes with multiple handcrafted layouts.
4 papers · 0 benchmarks
PASTIS-R (Panoptic Segmentation of Radar and Optical Satellite image TIme Series)
Extension of the PASTIS benchmark with radar and optical image time series.
4 papers · 2 benchmarks
SWINySEG (Singapore Whole sky Nychthemeron Image SEGmentation Database)
The SWINySEG dataset contains 6768 daytime- and nighttime-images of sky/cloud patches along with their corresponding binary ground truth maps.
4 papers · 1 benchmark
Swiss3DCities is a dataset that is manually annotated for semantic segmentation with per-point labels, and is built using photogrammetry from images acquired by multirotors equipped with high-resolution cameras.
4 papers · 0 benchmarks
USIS10K (Large-scale Underwater Salient Instance Segmentation Dataset)
We construct the first large-scale dataset, USIS10K, for the underwater salient instance segmentation task, which contains 10,632 images and pixel-level annotations of 7 categories.
4 papers · 0 benchmarks
A large collection of interaction-rich video data which are annotated and analyzed.
4 papers · 0 benchmarks
WISDOM (Warehouse Instance Segmentation Dataset for Object Manipulation)
Synthetic training dataset of 50,000 depth images and 320,000 object masks using simulated heaps of 3D CAD models.
4 papers · 1 benchmark
ARCH2S (Dataset, Benchmark for Learning Exterior Architectural Structures from Point Clouds)
Precise segmentation of architectural structures provides detailed information about various building components, enhancing our understanding and interaction with our built environment.
3 papers · 1 benchmark
The Aircraft Context Dataset, a composition of two inter-compatible large-scale and versatile image datasets focusing on manned aircraft and UAVs, is intended for training and evaluating classification, detection and segmentation models in…
3 papers · 0 benchmarks
We design an all-day semantic segmentation benchmark all-day CityScapes.
3 papers · 1 benchmark
BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response.
3 papers · 1 benchmark
CheXlocalize is a radiologist-annotated segmentation dataset on chest X-rays.
3 papers · 0 benchmarks
DOORS (Dataset fOr bOuldeRs Segmentation)
DOORS is a dataset designed for boulders recognition, centroid regression, segmentation, and navigation applications.
3 papers · 0 benchmarks
DeepSportradar is a benchmark suite of computer vision tasks, datasets and benchmarks for automated sport understanding.
3 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
HelixNet (HelixNet: A Dataset for Online LiDAR Segmentation)
Large-scale and open-access LiDAR dataset intended for the evaluation of real-time semantic segmentation algorithms.
3 papers · 1 benchmark
Hephaestus (Hephaestus: A large scale multitask dataset towards InSAR understanding)
Hephaestus is the first large-scale InSAR dataset.
3 papers · 0 benchmarks
The Image and Video Advertisements collection consists of an image dataset of 64,832 image ads, and a video dataset of 3,477 ads.
3 papers · 0 benchmarks
The dataset contains a Video capsule endoscopy dataset for polyp segmentation.
3 papers · 1 benchmark
The “Medico automatic polyp segmentation challenge” aims to develop computer-aided diagnosis systems for automatic polyp segmentation to detect all types of polyps (for example, irregular polyp, smaller or flat polyps) with high efficiency…
3 papers · 1 benchmark
OAM-TCD is a dataset of around 5k aerial images from around the world to support robust tree detection algorithms.
3 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.