# naurril/SUSTechPOINTS

3D Point Cloud Annotation Platform for Autonomous Driving

Repository: https://github.com/naurril/SUSTechPOINTS
Canonical: https://ross.abutalabs.com/products/sustechpoints
Language: JavaScript
License: GPL-3.0
License Family: copyleft
Last push: 2026-06-13T01:00:53+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 8, longevity 100
- inputs: {"age_days": 2417, "days_push": 82, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1150, forks 255 (observed 2026-08-28T04:03:46.636474+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: computer-vision, image-processing, gui, data-science
- domain: autonomous-vehicles, computer-vision, machine-learning, data-science
- platform: cross-platform, python
- tags: point-cloud, 3d-annotation, lidar, bounding-box, labeling-tool, dataset-annotation, semi-automatic-annotation, web-server, docker, javascript

## Member repositories
- naurril/SUSTechPOINTS (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.636474+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:41.297297+00:00, confidence not recorded.
  - readme: https://github.com/naurril/SUSTechPOINTS (fetched 2026-08-28T04:03:46.636474+00:00, sha f7d6083c42ee)
- Data as of 2026-08-30T08:39:29.467469+00:00.