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LIDAR Semantic Segmentation datasets

archive 2025-07-28

10 datasets carry the task tag "LIDAR Semantic Segmentation" (the task itself: LIDAR Semantic Segmentation), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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 52LIDAR Semantic Segmentation 10

LIDAR Semantic Segmentation datasets 1–10 of 10

nuScenes
The nuScenes dataset is a large-scale autonomous driving dataset.
Images3DPoint cloudTrackingLiDARObject DetectionInstance Segmentation3D Object DetectionSemi-Supervised Semantic SegmentationTrajectory Prediction3D Semantic Segmentation+13 tasks
2,139 papers · 21 benchmarks
SemanticKITTI
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation.
LiDARSemi-Supervised Semantic SegmentationPanoptic Segmentation3D Semantic SegmentationGeneralized Zero-Shot Learning3D Semantic Scene CompletionLIDAR Semantic Segmentation+5 tasks
669 papers · 10 benchmarks
ScribbleKITTI
ScribbleKITTI is a scribble-annotated dataset for LiDAR semantic segmentation.
Semi-Supervised Semantic Segmentation3D Semantic SegmentationWeakly-Supervised Semantic SegmentationLIDAR Semantic SegmentationWeakly Supervised 3D Point Cloud Segmentation
19 papers · 2 benchmarks
Paris-Lille-3D
The Paris-Lille-3D is a Benchmark on Point Cloud Classification.
ImagesSemantic SegmentationFew-Shot Learning3D Semantic SegmentationLIDAR Semantic Segmentation
15 papers · 1 benchmark
SemanticSTF
SemanticSTF is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse weather conditions.
LiDARSemantic Segmentation3D Semantic SegmentationLIDAR Semantic Segmentation
12 papers · 1 benchmark
WildScenes
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…
ImagesPoint cloudLiDARSemantic Segmentation2D Semantic Segmentation3D Semantic SegmentationImage SegmentationLIDAR Semantic SegmentationSemantic SLAM+1 tasks
12 papers · 2 benchmarks
S.MID (SeMantic InDustry)
SeMantic InDustry (S.MID) is a dataset designed to advance the field of LiDAR semantic segmentation, specifically for robotic applications and large-scale industrial scene.
LiDARLIDAR Semantic Segmentation
5 papers · 1 benchmark
A Curb Dataset
This is a dataset with curb annotations by using 3D LiDAR data and we build this dataset based on the SemanticKITTI dataset.
LIDAR Semantic Segmentation
1 paper · 0 benchmarks
ULS labeled data (UVA laser scanning labelled las data over tropical moist forest classified as leaf or wood points)
UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana).
3DPoint cloudLiDARLIDAR Semantic Segmentation
1 paper · 1 benchmark
nuScenes (Cross-City UDA)
A cross-city UDA benchmark built upon nuScenes.
3DPoint cloudLiDARUnsupervised Domain AdaptationLIDAR Semantic Segmentation
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.