## Dataset Description (数据集简介)
**SimData-NuScenes** is a large-scale synthetic dataset generated from high-fidelity simulation environments. It is designed to facilitate research in autonomous driving perception, specifically for 3D object detection and tracking.
The dataset follows the **NuScenes format (v1.0-custom)** and covers diverse environments including highways, complex urban areas, and parking lots across different geographic styles (US, Europe, Japan).
### Key Features
- **Format**: Fully compatible with the `nuscenes-devkit`.
- **Scale**: Contains **45 scenes** derived from **15 distinct maps**.
- **Diversity**: Covers Highway, Urban, and Parking scenarios.
- **Volume**: Approximately **18,000+ frames** per sensor (Camera/LiDAR).
## Dataset Statistics (统计数据)
The dataset metadata is organized as follows:
| Metric | Count |
| :--- | :--- |
| **Total Logs/Scenes** | 45 |
| **Maps** | 15 |
| **Annotated Samples (Keyframes)** | 1,796 |
| **Sample Data (Total Frames)** | 21…
