cluster3d/cluster3d.github.io
Cluster3D: A Dataset and Benchmark forClustering Non-Categorical 3D CAD Models
This project helps mechanical engineers and researchers working with 3D CAD models to organize and analyze large collections of shapes. It provides a dataset of 3D CAD models with expert-annotated similarities, allowing users to benchmark and develop algorithms that can automatically group similar, non-categorized designs. This is useful for anyone needing to understand the underlying structure of massive 3D shape databases without predefined categories.
No commits in the last 6 months.
Use this if you need a high-quality, expert-annotated dataset of 3D CAD models to develop or test algorithms for clustering geometric shapes based on their visual and functional similarities.
Not ideal if you are looking for a tool to automatically classify 3D models into predefined categories or if your primary interest is in shape classification rather than unsupervised clustering.
Stars
24
Forks
—
Language
C++
License
—
Category
Last pushed
Nov 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cluster3d/cluster3d.github.io"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
yogeshhk/MidcurveNN
Computation of Midcurve of Thin Polygons using Neural Networks
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space