Home › Datasets › task › 3D Classification
3D Classification datasets
archive 2025-07-28
15 datasets carry the task tag "3D Classification" (the task itself: 3D Classification), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. 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
3D Classification datasets 1–15 of 15
ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations.
180 papers · 1 benchmark
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
32 papers · 2 benchmarks
The RAD-ChestCT dataset is a large medical imaging dataset developed by Duke MD/PhD Rachel Draelos during her Computer Science PhD supervised by Lawrence Carin.
6 papers · 0 benchmarks
Attention Deficit Hyperactivity Disorder (ADHD) affects at least 5-10% of school-age children and is associated with substantial lifelong impairment, with annual direct costs exceeding $36 billion/year in the US.
3 papers · 0 benchmarks
Depth vision has been recently used in many locomotion devices with the objective to ease the life of disabled people toward reaching more ecological lifestyle.
2 papers · 0 benchmarks
CVB (Video Dataset of Cattle Visual Behaviors)
Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments.
2 papers · 0 benchmarks
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.
2 papers · 0 benchmarks
This dataset comprises video files (converted into tif format) that depict glomerular activation in mice.
1 paper · 0 benchmarks
Tables of the blendshapes from a group of the images of the FER2013 dataset, generated using MediaPipe library, based on the ARKit face blendshapes.
1 paper · 0 benchmarks
This dataset includes 3D point-cloud and 2D imagery from a flash LiDAR...
1 paper · 1 benchmark
This dataset supports the research detailed in the pre-print "Virtual Imaging Trials Improved the Transparency and Reliability of AI Systems in COVID-19 Imaging." The study employs both clinical and simulated CT data to evaluate AI models…
1 paper · 1 benchmark
This dataset is the images of corn seeds considering the top and bottom view independently (two images for one corn seed: top and bottom).
0 papers · 0 benchmarks
InLUT3D (Indoor Lodz University of Technology Point Cloud Dataset)
This dataset called Indoor Lodz University of Technology Point Cloud Dataset (InLUT3D) is a point cloud set tailored for real object classification and both semantic and instance segmentation tasks.
0 papers · 0 benchmarks
InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications.
0 papers · 0 benchmarks
Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine.
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.