majharB/vegPoint
First annotated 3D LiDAR data analysis for broccoli and mushroom moisture prediction. Combines geometric point clouds with spectral intensity. Implements PointNet++ models integrating structure and spectra for improved classification accuracy.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/majharB/vegPoint"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IGNF/myria3d
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
PRBonn/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
PRBonn/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
venkatasivanaga/FuelDeep3D
R package for LiDAR point-cloud processing and deep-learning inference for 3D fuel mapping.
QingyongHu/SQN
SQN in Tensorflow (ECCV'2022)