Home › Datasets › task › Image Segmentation
Image Segmentation datasets
archive 2025-07-28
43 datasets carry the task tag "Image Segmentation" (the task itself: Image Segmentation), ordered by the archive's paper count. Page 1 of 1: 43 shown of 43. 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
Image Segmentation datasets 1–43 of 43
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
15,430 papers · 52 benchmarks
PASCAL VOC (PASCAL Visual Object Classes Challenge)
The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, boat, bus, car, motorbike, train, bottle, chair, dining table, potted plant, sofa,…
198 papers · 18 benchmarks
SA-1B consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks.
183 papers · 1 benchmark
MCubeS (Multimodal Material Segmentation Dataset)
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes.
19 papers · 1 benchmark
We propose a large-scale benchmark here, which contains a total of 6,461 mirror images with ground truth annotations.
18 papers · 1 benchmark
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
The EntitySeg dataset contains 33,227 images with high-quality mask annotations.
9 papers · 0 benchmarks
The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset.
9 papers · 2 benchmarks
The CheXmask Database presents a comprehensive, uniformly annotated collection of chest radiographs, constructed from five public databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest and VinDr-CXR.
7 papers · 0 benchmarks
MARIDA (Marine Debris Archive)
MARIDA (Marine Debris Archive) is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris from various marine features that co-exist, including Sargassum macroalgae, Ships, Natural…
6 papers · 1 benchmark
2DeteCT (2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning)
Maximilian B.
5 papers · 0 benchmarks
We construct the first large-scale mirror dataset, named MSD.
5 papers · 1 benchmark
MAS3K (MAS3K: An Open Dataset for Marine Animal Segmentation)
MAS3K contains a total of 3,103 images, where 1,588 are for camouflaged cases, 1,322 are for common cases, and 193 are underwater images in absence of marine animals.
4 papers · 1 benchmark
RMAS (Real-World Marine Animal Segmentation)
We construct a new large-scale real-world MAS data set for conducting extensive experiments.
4 papers · 1 benchmark
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
UIIS10K (General Underwater Image Instance Segmentation dataset 10K)
We propose a large-scale underwater instance segmentation dataset, UIIS10K, which includes 10,048 images with pixel-level annotations for 10 categories.
3 papers · 0 benchmarks
CaBuAr (CaBuAr: California Burned Areas dataset)
This dataset contains images from Sentinel-2 satellites taken before and after a wildfire.
2 papers · 0 benchmarks
VD4UAV is an altitude-sensitive benchmark dataset designed to evade vehicle detection in Unmanned Aerial Vehicle (UAV) imagery.
2 papers · 2 benchmarks
Pothole Mix (Pothole Mix Semantic Segmentation Dataset for Road Damage Detection and Segmentation)
This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets already publicly available, plus a very small addition of segmented images on our part.
2 papers · 1 benchmark
This dataset contains a collection of 235800 X-ray projections of 131 pieces of modeling clay (Play-Doh) with various numbers of stones inserted.
1 paper · 0 benchmarks
BD-TypoSAT (Building Damage Typology Satellite Dataset)
On Sunday, August 29, 2021, Hurricane Ida struck parts of Louisiana and Mississippi with wind gusts reaching up to 172 mph, leaving more than a million customers without electricity, including the entire New Orleans area.
1 paper · 0 benchmarks
The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil.
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
ENSeg Dataset Overview This dataset represents an enhanced subset of the ENS dataset.
1 paper · 1 benchmark
FMARS (Foundation Models Annotation in Remote Sensing)
FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
1 paper · 0 benchmarks
Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen.
1 paper · 0 benchmarks
- Images for Classification, Segmentation, Object Detection, Upsampling, and Edge LLM - Feature Noise-Augmented Dataset for Semantic Communication Kindly Check: https://huggingface.co/datasets/CQILAB/GenSC-6G
1 paper · 0 benchmarks
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
We present a comprehensive dataset comprising a vast collection of raw mineral samples for the purpose of mineral recognition.
1 paper · 0 benchmarks
Panoramic Video Panoptic Segmentation Dataset is a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving.
1 paper · 0 benchmarks
PoTATO is a dataset designed to enhance the detection of floating plastic waste in aquatic environments by leveraging polarimetric imaging.
1 paper · 0 benchmarks
Raw-Microscopy: 940 raw bright-field microscopy images of human blood smear slides for leukocyte classification (microscopy/images/rawscale100) with corresponding labels (microscopy/labels).
1 paper · 0 benchmarks
Dataset for Land Cover segmentation from sparse labels, using Sentinel-2 as source imagery.
1 paper · 0 benchmarks
Hyperspectral Imaging, employed in satellites for space remote sensing, like HYPSO-1, faces constraints due to few labeled data sets, affecting the training of AI models demanding these ground-truth annotations.
1 paper · 0 benchmarks
A dataset made of 3D image data and their embeddings to test TomoSAM
1 paper · 0 benchmarks
UV6K (Urban Vehicle Segmentation Dataset)
UV6K is a high-resolution remote sensing urban vehicle segmentation dataset.
1 paper · 1 benchmark
To encourage reproducible research, a labeled MultiRAW dataset containing>7k RAW images acquired using multiple camera sensors is made publicly accessible for RAW-domain processing.
1 paper · 0 benchmarks
CornHub (Instance-Segmentation Dataset of Corn Cobs)
🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs Version: 1.0.0 Date: 2025-05-18 License: CC BY 4.0 Author: Sebastian Borukało 📦 Description CornHub is an instance-segmentation dataset of corn cobs in real field conditions.
0 papers · 0 benchmarks
Overview The IITKGPFence dataset is designed for tasks related to fence-like occlusion detection, defocus blur, depth mapping, and object segmentation.
0 papers · 0 benchmarks
MapAI: Precision in Building Segmentation Dataset The dataset comprises 7500 training images and 1500 validation images from Denmark.
0 papers · 0 benchmarks
Dataset: RGB-D Images for Real-World and Synthetic Object Scenes This dataset consists of both real-world and synthetic RGB-D images, designed for object detection, classification, and segmentation tasks, particularly for primitive shape…
0 papers · 0 benchmarks
SMDG (Standardized Multi-Channel Dataset for Glaucoma)
Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public datasets, comprised of full-fundus glaucoma images, associated image metadata like, optic disc segmentation, optic cup segmentation,…
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.