CoolFace
Datasetpublic

precisebposolution/autonomous-driving-annotation-standards

Autonomous Driving Scene Annotation Guidelines: LiDAR + Camera Labeling Standards Overview Perception is the foundation layer of every autonomous driving stack. Before a planning module can decide whether to brake, merge, or yield, a perception model has to correctly answer a much simpler question: what is out there, and where exactly is it? That answer is only as good as the ground truth data used to train it — which means annotation quality is not a downstream… See the full description on the dataset page: https://huggingface.co/datasets/precisebposolution/autonomous-driving-annotation-standards.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face
1likes14downloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
precisebposolution/autonomous-driving-annotation-standards · CoolFace