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license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- rc-car
- self-driving
- imitation-learning
---
# RC Car Self-Driving Dataset
A LeRobot v3.0 dataset for training imitation learning policies on an RC car. Recorded via a remote operator interface over LiveKit, with a single front-facing camera and keyboard controls.
## Dataset Details
| Property | Value |
|---|---|
| Robot | RC car |
| FPS | 30 |
| Episodes | 10 |
| Total frames | 21,949 (~12 min) |
| Resolution | 320x180 |
| Task | `drive` |
## Features
- **observation.images.camera** — front-facing RGB video (320x180, h264)
- **observation.state** — previous frame's controls (6-dim float): `[forward, backward, left, right, speed, brake]`
- **action** — current controls (6-dim float): `[forward, backward, left, right, speed, brake]`
## Usage
```python
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("binhpham/driving-dataset")
```
### Train with ACT policy
```bash
uv run lerobot-train --dataset binhpham/driving-dataset --policy act --steps 50000 --device mps
```
## Format
LeRobot v3.0 dataset format. See [LeRobot documentation](https://github.com/huggingface/lerobot) for details.
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