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Panoptic Segmentation datasets
archive 2025-07-2837 datasets carry the task tag "Panoptic Segmentation" (the task itself: Panoptic Segmentation), ordered by the archive's paper count. Page 1 of 1: 37 shown of 37. 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
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 52Panoptic Segmentation 37
Panoptic Segmentation datasets 1–37 of 37
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes.
3,702 papers · 51 benchmarks
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data.
1,595 papers · 21 benchmarks
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels.
1,213 papers · 32 benchmarks
NYUv2 (NYU-Depth V2)
The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.
986 papers · 16 benchmarks
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation.
669 papers · 10 benchmarks
S3DIS (Stanford 3D Indoor Scene Dataset (S3DIS))
The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms.
488 papers · 9 benchmarks
The SUN RGBD dataset contains 10335 real RGB-D images of room scenes.
477 papers · 11 benchmarks
Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
469 papers · 16 benchmarks
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations.
246 papers · 7 benchmarks
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images.
108 papers · 4 benchmarks
Mapillary Vistas Dataset is a diverse street-level imagery dataset with pixel‑accurate and instance‑specific human annotations for understanding street scenes around the world.
101 papers · 3 benchmarks
PanNuke is a semi automatically generated nuclei instance segmentation and classification dataset with exhaustive nuclei labels across 19 different tissue types.
61 papers · 4 benchmarks
DALES (DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation)
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories.
26 papers · 2 benchmarks
A large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction.
23 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
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
4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of the OR, with one frame-per-second, providing synchronized RGB and depth images.
11 papers · 3 benchmarks
The CropAndWeed dataset is focused on the fine-grained identification of 74 relevant crop and weed species with a strong emphasis on data variability.
10 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
PhenoBench (PhenoBench — A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain)
The PhenoBench dataset contains multiple image segmentation challenges from the agricultural domain.
9 papers · 0 benchmarks
The Cityscapes Panoptic Parts dataset introduces part-aware panoptic segmentation annotations for the Cityscapes dataset.
8 papers · 1 benchmark
Panoptic nuScenes is a benchmark dataset that extends the popular nuScenes dataset with point-wise groundtruth annotations for semantic segmentation, panoptic segmentation, and panoptic tracking tasks.
7 papers · 0 benchmarks
BUP20 (Sweet Pepper 2020 University of Bonn)
Video sequences from a glasshouse environment in Campus Kleinaltendorf(CKA), University of Bonn, captured by PATHoBot, a glasshouse monitoring robot.
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
MUSES: MUlti-SEnsor Semantic perception dataset (The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty)
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
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
InstaOrder can be used to understand the geometrical relationships of instances in an image.
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
Panoramic Video Panoptic Segmentation Dataset is a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving.
1 paper · 0 benchmarks
SICKLE (Satellite Imagery for Cropping annotated with Keyparameter LabEls)
The availability of well-curated datasets has driven the success of Machine Learning (ML) models.
1 paper · 1 benchmark
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
TYC Dataset (The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures)
We introduce the trapped yeast cell (TYC) dataset, a novel dataset for understanding instance-level semantics and motions of cells in microstructures.
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
YIM Dataset (Yeast Cells in Microstructures Dataset)
An instance segmentation dataset of yeast cells in microstructures.
1 paper · 0 benchmarks
Lemon dataset has been prepared to investigate the possibilities to tackle the issue of fruit quality control.
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.