turing-motors/CoVLA-Dataset
CoVLA-Dataset WACV 2025 Oral CoVLA-Dataset is a dataset comprising real-world driving videos spanning more than 80 hours. This dataset leverages a novel, scalable approach based on automated data processing and a caption generation pipeline to generate accurate driving trajectories paired with detailed natural language descriptions of driving environments and maneuvers. It includes 10,000 30-second video clips, paired with trajectory targets and language annotations generated… See the full description on the dataset page: https://huggingface.co/datasets/turing-motors/CoVLA-Dataset.
| Author / organization | turing-motors |
|---|---|
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 56 |
| Created | 26 November 2024 |
| Last updated at source | 1 March 2025 |
Popularity, last 3 days
3,109 now (-586 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: CoVLA-Dataset WACV 2025 Oral CoVLA-Dataset is a dataset comprising real-world driving videos spanning more than 80 hours. This dataset leverages a novel, scalable approach based on automated data processing and a caption generation pipeline → CoVLA-Dataset WACV 2025 Oral CoVLA-Dataset is a dataset comprising real-world driving videos spanning more than 80 hours. This dataset leverages a novel, scalable approach based on automated data processing and a caption generation pipeline
Changes detected by Silytics between refreshes of the source.
More from turing-motors
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.