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Telkwevr/Bench2Drive-VL-base

Bench2Drive-VL: Full-Stack Software for Closed-Loop Autonomous Driving with Vision Language Models Project Page | GitHub | Paper Bench2Drive-VL is a comprehensive closed-loop benchmark for Vision-Language Models in Autonomous Driving (VLM4AD). It extends the Bench2Drive benchmark by introducing closed-loop evaluation and the DriveCommenter expert model for automated annotation. This repository contains the natural language annotations for the Bench2Drive-Base1000 dataset. These… See the full description on the dataset page: https://huggingface.co/datasets/Telkwevr/Bench2Drive-VL-base.

Author / organizationTelkwevr
License (as declared)apache-2.0
Downloads4.1K (as reported by Hugging Face)
Likes1
Created11 July 2025
Last updated at source7 April 2026
autonomous-driving
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