naurril/SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 87
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2417
- days_rel: n/a
- days_push: 82
- n_releases_24m: 0
Adoption not part of the score
1150 stars · 255 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
SUSTechPOINTS is a web-based 3D point cloud annotation platform for labeling LiDAR data with 3D bounding boxes, aimed at autonomous driving datasets. It supports 9-DoF box editing, semi-automatic annotation, batch editing, and multi-camera image integration.
Use cases
- annotate 3d point clouds for autonomous driving
- label lidar point cloud bounding boxes
- create 3d object detection training datasets
- semi-automatic point cloud annotation
- annotate multi-camera lidar sequences
- label 3d boxes with auto yaw prediction
When to avoid
- you only need 2D image annotation
- you need a lightweight single-file labeling tool without a server backend
- your data is not point cloud or camera based
Facets
application · maturity active
computer-vision image-processing gui data-science autonomous-vehicles computer-vision machine-learning data-science cross-platform python point-cloud 3d-annotation lidar bounding-box labeling-tool dataset-annotation semi-automatic-annotation web-server docker javascript
1 source
- readme: https://github.com/naurril/SUSTechPOINTS · fetched 2026-08-28 · f7d6083c42ee
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| naurril/SUSTechPOINTS | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="naurril/SUSTechPOINTS")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem