RainyWu/SV2V-RSim
SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data Table of Contents: Highlights News Getting Started Benchmark TODO List Contaction Highlights The SV2V-RSim dataset spans four maps, incorporates four distinct weather conditions and six time periods from sunrise to night, and comprises 203K LiDAR frames, 402K RGB frames, and 788K annotated 3D bounding boxes across 17 object… See the full description on the dataset page: https://huggingface.co/datasets/RainyWu/SV2V-RSim.
| Author / organization | RainyWu |
|---|---|
| Downloads | 460 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 May 2026 |
| Last updated at source | 19 May 2026 |
Popularity, last 5 days
460 now (+49 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data Table of Contents: Highlights News Getting Started Benchmark TODO List Contaction Highlights The SV2V-RSim dataset spans four maps, → SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data Table of Contents: Highlights News Getting Started Benchmark TODO List Contaction Highlights The SV2V-RSim dataset spans four maps,
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.