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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 3 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 97–144 of 347
The ISIC 2018 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images.
27 papers · 1 benchmark
ISPRS Potsdam (2D Semantic Labeling Contest - Potsdam)
The data set contains 38 patches (of the same size), each consisting of a true orthophoto (TOP) extracted from a larger TOP mosaic.
27 papers · 2 benchmarks
Nighttime Driving is a dataset of road scenes consisting of 35,000 images ranging from daytime to twilight time and to nighttime.
27 papers · 2 benchmarks
ScribbleSup (PASCAL-Scribble Dataset)
The PASCAL-Scribble Dataset is an extension of the PASCAL dataset with scribble annotations for semantic segmentation.
26 papers · 0 benchmarks
A three million frame, multi-view, furniture assembly video dataset that includes depth, atomic actions, object segmentation, and human pose.
25 papers · 1 benchmark
ROSE (Retinal OCTA SEgmentation dataset)
Retinal OCTA SEgmentation dataset (ROSE) consists of 229 OCTA images with vessel annotations at either centerline-level or pixel level.
25 papers · 4 benchmarks
DADA-seg is a pixel-wise annotated accident dataset, which contains a variety of critical scenarios from traffic accidents.
24 papers · 1 benchmark
Toronto-3D is a large-scale urban outdoor point cloud dataset acquired by an MLS system in Toronto, Canada for semantic segmentation.
24 papers · 2 benchmarks
DSEC (A Stereo Event Camera Dataset for Driving Scenarios)
DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global shutter color cameras in favorable and challenging illumination conditions.
23 papers · 2 benchmarks
The DeepWeeds dataset consists of 17,509 images capturing eight different weed species native to Australia in situ with neighbouring flora.
23 papers · 0 benchmarks
Introduced by Da et al.
23 papers · 1 benchmark
A large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction.
23 papers · 0 benchmarks
CARRADA is a dataset of synchronized camera and radar recordings with range-angle-Doppler annotations.
22 papers · 0 benchmarks
Satlas is a remote sensing dataset and benchmark that is large in both breadth, featuring all of the aforementioned applications and more, as well as scale, comprising 290M labels under 137 categories and 7 label modalities.
22 papers · 0 benchmarks
The INRIA Aerial Image Labeling dataset is comprised of 360 RGB tiles of 5000×5000px with a spatial resolution of 30cm/px on 10 cities across the globe.
21 papers · 1 benchmark
A composite dataset that unifies semantic segmentation datasets from different domains.
21 papers · 0 benchmarks
AVSBench (Audio −Visual Segmentation)
AVSBench is a pixel-level audio-visual segmentation benchmark that provides ground truth labels for sounding objects.
20 papers · 0 benchmarks
FMB Dataset (Full-time Multi-modality Benchmark Dataset)
FMB contains 1500 well-registered infrared and visible image pairs with 14 annotated pixel-level categories.
20 papers · 1 benchmark
20 papers · 2 benchmarks
DELIVER is an arbitrary-modal segmentation benchmark, covering Depth, LiDAR, multiple Views, Events, and RGB.
19 papers · 3 benchmarks
DeepFish as a benchmark suite with a large-scale dataset to train and test methods for several computer vision tasks.
19 papers · 1 benchmark
FoodSeg103 (lewisnjue)
FoodSeg103 is a new food image dataset containing 7,118 images.
19 papers · 1 benchmark
Hi4D contains 4D textured scans of 20 subject pairs, 100 sequences, and a total of more than 11K frames.
19 papers · 0 benchmarks
ISPRS Vaihingen (2D Semantic Labeling - Vaihingen data)
The data set contains 33 patches (of different sizes), each consisting of a true orthophoto (TOP) extracted from a larger TOP mosaic.
19 papers · 1 benchmark
Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc.
19 papers · 3 benchmarks
MCubeS (Multimodal Material Segmentation Dataset)
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes.
19 papers · 1 benchmark
ModaNet is a street fashion images dataset consisting of annotations related to RGB images.
19 papers · 1 benchmark
AI-TOD (Tiny Object Detection in Aerial Images)
AI-TOD comes with 700,621 object instances for eight categories across 28,036 aerial images.
18 papers · 2 benchmarks
A large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns.
18 papers · 0 benchmarks
CrossMoDA (Cross-Modality Domain Adaptation)
CrossMoDA is a large and multi-class benchmark for unsupervised cross-modality Domain Adaptation.
18 papers · 0 benchmarks
PASTIS (Panoptic Segmentation of satellite image TImes Series)
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series.
18 papers · 2 benchmarks
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals.
17 papers · 2 benchmarks
SceneNet is a dataset of labelled synthetic indoor scenes.
17 papers · 0 benchmarks
CryoNuSeg is a fully annotated FS-derived cryosectioned and H&E-stained nuclei instance segmentation dataset.
16 papers · 0 benchmarks
DADA-2000 is a large-scale benchmark with 2000 video sequences (named as DADA-2000) is contributed with laborious annotation for driver attention (fixation, saccade, focusing time), accident objects/intervals, as well as the accident…
16 papers · 0 benchmarks
The database consists of 150 annotated pages of three different medieval manuscripts with challenging layouts.
15 papers · 2 benchmarks
The Paris-Lille-3D is a Benchmark on Point Cloud Classification.
15 papers · 1 benchmark
RoadAnomaly21 is a dataset for anomaly segmentation, the task of identify the image regions containing objects that have never been seen during training.
15 papers · 0 benchmarks
Fashionpedia consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with everyday and celebrity event…
14 papers · 0 benchmarks
MHP (Multiple-Human Parsing)
The MHP dataset contains multiple persons captured in real-world scenes with pixel-level fine-grained semantic annotations in an instance-aware setting.
14 papers · 3 benchmarks
REFUGE Challenge (Retinal Fundus Glaucoma Challenge)
REFUGE Challenge provides a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
14 papers · 4 benchmarks
BRATS 2016 is a brain tumor segmentation dataset.
13 papers · 0 benchmarks
Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving.
13 papers · 3 benchmarks
The Habitat-Matterport 3D Semantics Dataset (HM3DSem) is the largest-ever dataset of 3D real-world and indoor spaces with densely annotated semantics that is available to the academic community.
13 papers · 0 benchmarks
TTPLA (Transmission Towers and Power Lines (TTPLA))
TTPLA is a public dataset which is a collection of aerial images on Transmission Towers (TTs) and Power Lines (PLs).
13 papers · 0 benchmarks
A Multi-Task 4D Radar-Camera Fusion Dataset for Autonomous Driving on Water Surfaces description of the dataset WaterScenes, the first multi-task 4D radar-camera fusion dataset on water surfaces, which offers data from multiple sensors,…
13 papers · 2 benchmarks
Partial iLIDS is a dataset for occluded person person re-identification.
12 papers · 0 benchmarks
SemanticSTF is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse weather conditions.
12 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.