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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 (ModelNet-C)
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
3D-Point Cloud dataset of various geometrical terrains (3D-Point Cloud dataset of various geometrical terrains in urban environments recorded during human locomotion)
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
FER2013 Blendshapes (FER2013 blendshapes dataset example (Partial))
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 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.