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3D Point Cloud Classification datasets

archive 2025-07-28

6 datasets carry the task tag "3D Point Cloud Classification" (the task itself: 3D Point Cloud Classification), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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 523D Point Cloud Classification 6

3D Point Cloud Classification datasets 1–6 of 6

ModelNet
The ModelNet40 dataset contains synthetic object point clouds.
3DPoint cloud3D Point Cloud ClassificationFew-Shot 3D Point Cloud ClassificationZero-shot 3D Point Cloud Classification3D Object Classification3D Object Recognition3D Point Cloud Data Augmentation+7 tasks
1,406 papers · 15 benchmarks
ScanObjectNN
ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories.
3DPoint cloud3D Point Cloud ClassificationZero-shot 3D Point Cloud Classification3D Point Cloud Data AugmentationZero-Shot Transfer 3D Point Cloud ClassificationFew-Shot Point Cloud Classification3D Point Cloud Linear Classification+4 tasks
337 papers · 6 benchmarks
ModelNet40-C (ModelNet-C)
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
3DPoint cloud3D Point Cloud Classification3D Classification3D Point Cloud Data AugmentationFew-Shot Point Cloud ClassificationRobust classificationClassify 3D Point Clouds
32 papers · 2 benchmarks
IntrA
IntrA is an open-access 3D intracranial aneurysm dataset that makes the application of points-based and mesh-based classification and segmentation models available.
Images3D Point Cloud ClassificationMedical Diagnosis3D Part Segmentation
27 papers · 2 benchmarks
Sydney Urban Objects
This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD of Sydney, Australia.
3DPoint cloudLiDAR3D Point Cloud Classification
4 papers · 1 benchmark
Teeth3DS+ (An Extended Benchmark for Intraoral 3D Scans Analysis)
Intraoral 3D scans analysis is a fundamental aspect of Computer-Aided Dentistry (CAD) systems, playing a crucial role in various dental applications, including teeth segmentation, detection, labeling, and dental landmark identification.
Point cloud3d meshes3D Point Cloud Classification3D Classification3D Part Segmentation
2 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.