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Instance Segmentation datasets
archive 2025-07-28111 datasets carry the task tag "Instance Segmentation" (the task itself: Instance Segmentation), ordered by the archive's paper count. Page 2 of 3: 48 shown of 111. 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
Instance Segmentation datasets 49–96 of 111
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
ARMBench is a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse.
4 papers · 1 benchmark
The Fraunhofer IPA Bin-Picking dataset is a large-scale dataset comprising both simulated and real-world scenes for various objects (potentially having symmetries) and is fully annotated with 6D poses.
4 papers · 0 benchmarks
Separated COCO is automatically generated subsets of COCO val dataset, collecting separated objects for a large variety of categories in real images in a scalable manner, where target object segmentation mask is separated into distinct…
4 papers · 1 benchmark
TexBiG (Text-Bild-Gefüge)
TexBiG (from the German Text-Bild-Gefüge, meaning Text-Image-Structure) is a document layout analysis dataset for historical documents in the late 19th and early 20th century.
4 papers · 4 benchmarks
The TimberSeg 1.0 dataset is composed of 220 images showing wood logs in various environments and conditions in Canada.
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
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
4 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
DeepSportradar is a benchmark suite of computer vision tasks, datasets and benchmarks for automated sport understanding.
3 papers · 0 benchmarks
GraSP (Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies)
Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as a hierarchy of complementary tasks with varying levels of granularity.
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
Real-world dataset of ~400 images of cuboid-shaped parcels with full 2D and 3D annotations in the COCO format.
3 papers · 0 benchmarks
RobotPush is a dataset for object singulation – the task of separating cluttered objects through physical interaction.
3 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
This data set contains 775 video sequences, captured in the wildlife park Lindenthal (Cologne, Germany) as part of the AMMOD project, using an Intel RealSense D435 stereo camera.
2 papers · 0 benchmarks
MOTFront provides photo-realistic RGB-D images with their corresponding instance segmentation masks, class labels, 2D & 3D bounding boxes, 3D geometry, 3D poses and camera parameters.
2 papers · 0 benchmarks
MVTec D2S (MVTec Densely Segmented Supermarket)
MVTec D2S is a benchmark for instance-aware semantic segmentation in an industrial domain.
2 papers · 0 benchmarks
Occluded COCO is automatically generated subset of COCO val dataset, collecting partially occluded objects for a large variety of categories in real images in a scalable manner, where target object is partially occluded but the…
2 papers · 1 benchmark
OmniCity is a dataset for omnipotent city understanding from multi-level and multi-view images.
2 papers · 0 benchmarks
Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format.
2 papers · 0 benchmarks
A set of 221 stereo videos captured by the SOCRATES stereo camera trap in a wildlife park in Bonn, Germany between February and July of 2022.
2 papers · 0 benchmarks
SB20 (Sugar Beet 2020 University of Bonn)
Video sequences captured at a field on Campus Kleinaltendorf (CKA), University of Bonn, captured by BonBot-I, an autonomous weeding robot.
2 papers · 0 benchmarks
TBBR (Thermal Bridges on Building Rooftops)
The dataset of Thermal Bridges on Building Rooftops (TBBR dataset) consists of annotated combined RGB and thermal drone images with a height map.
2 papers · 2 benchmarks
UW Indoor Scenes (UW-IS) Occluded dataset is curated using commodity hardware (Intel RealSense D435) to reflect real world robotics scenarios.
2 papers · 0 benchmarks
BPCIS (Bacterial Phase Contrast for Instance Segementation)
BPCIS is collection of 364 bacterial phase contrast images and corresponding label matrices for instance segmentation.
1 paper · 0 benchmarks
RGB-D instance segmentation box dataset.
1 paper · 2 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
COCO-N Medium introduces a stochastic benchmark that simulates common real-world scenarios with noticeable label inaccuracies in the COCO dataset.
1 paper · 1 benchmark
COCO-WAN (Medium noise) (Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters)
The COCO-WAN benchmark is designed to assess the impact of weakly annotations (combined with auto-annotation tools) noise on instance segmentation models.
1 paper · 1 benchmark
DLO Instance Segmentation dataset (DLO Instance Segmentation dataset generated by Blender)
Contains ~60000 HD images of Deformable Linear Objects (DLOs) generated using blender.
1 paper · 0 benchmarks
ENSeg Dataset Overview This dataset represents an enhanced subset of the ENS dataset.
1 paper · 1 benchmark
The FashionFail dataset comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites.
1 paper · 0 benchmarks
The 'Me 163' was a Second World War fighter airplane and a result of the German air force secret developments.
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
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
HT1080WT cells - 3D collagen type I matrices (HT1080WT cells embedded in 3D collagen type I matrices - manual annotations for cell instance segmentation and tracking)
Human fibrosarcoma HT1080WT (ATCC) cells at low cell densities embedded in 3D collagen type I matrices [1].
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
- Revision: v1.0.0-full-20210527a - DOI: 10.5281/zenodo.4817662 - Authors: J.
1 paper · 0 benchmarks
This publicly available dataset contains 1613 RGB-D images of field-grown broccoli plants.
1 paper · 0 benchmarks
LDD (LDD: A Grape Diseases Dataset Detection and Instance Segmentation)
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically identify plant organs and the possible diseases associated…
1 paper · 2 benchmarks
MIS-Check Dam (Minor Irrigation Structures- Check Dam)
Minor Irrigation Structures Check-Dam Dataset is a public dataset annotated by domain experts using images from Google static map for instance segmentation and object detection tasks.
1 paper · 0 benchmarks
MiSCS (Microscopic Shrub Cross Sections)
Microscopy images of shrub cross sections for instance segmentation of tree rings.
1 paper · 0 benchmarks
A RGB-D dataset converted from NYUDv2 into COCO-style instance segmentation format.
1 paper · 2 benchmarks
An object-centric version of Stylized COCO to benchmark texture bias and out-of-distribution robustness of vision models.
1 paper · 0 benchmarks
PWISeg (PWISeg Surgical Instruments Dataset)
Overview The Surgical Instruments Recognition Dataset is a groundbreaking collection of high-resolution images (1280x960 pixels) specifically designed for the recognition and categorization of surgical instruments.
1 paper · 0 benchmarks
A multimodal dataset of radio galaxies and their corresponding infrared hosts.
1 paper · 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.