binhpham/driving-dataset-2
收藏Hugging Face2026-03-22 更新2026-03-29 收录
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https://hf-mirror.com/datasets/binhpham/driving-dataset-2
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资源简介:
---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- rc-car
- self-driving
- imitation-learning
---
# RC Car Self-Driving Dataset 2
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 | 24 |
| Total frames | 65,717 (~36 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-2")
```
### Train with ACT policy
```bash
uv run lerobot-train --dataset binhpham/driving-dataset-2 --policy act --steps 50000 --device mps
```
## Format
LeRobot v3.0 dataset format. See [LeRobot documentation](https://github.com/huggingface/lerobot) for details.
license: Apache-2.0开源协议
task_categories:
- 机器人学
tags:
- LeRobot
- 遥控车(RC Car)
- 自动驾驶(Self-Driving)
- 模仿学习(Imitation Learning)
# 遥控车自动驾驶数据集2(RC Car Self-Driving Dataset 2)
本数据集为LeRobot v3.0版本,用于遥控车模仿学习策略的训练,通过基于LiveKit协议的远程操作界面录制,配备单台前置摄像头,以键盘作为控制输入方式。
## 数据集详情
| 属性 | 取值 |
|---|---|
| 机器人平台 | 遥控车(RC Car) |
| 帧率 | 30 FPS |
| 训练回合数 | 24 |
| 总帧数 | 65717帧(总时长约36分钟) |
| 分辨率 | 320×180 |
| 任务类型 | `drive` |
## 数据集特征
- **observation.images.camera**:前置RGB视频流(分辨率320×180,编码格式为H.264)
- **observation.state**:上一帧控制指令(6维浮点向量):`[前进, 后退, 左转, 右转, 车速, 制动]`
- **action**:当前帧控制指令(6维浮点向量):`[前进, 后退, 左转, 右转, 车速, 制动]`
## 使用方法
python
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("binhpham/driving-dataset-2")
### 采用ACT策略训练
bash
uv run lerobot-train --dataset binhpham/driving-dataset-2 --policy act --steps 50000 --device mps
## 数据集格式
本数据集采用LeRobot v3.0格式,详细说明请参考[LeRobot官方文档](https://github.com/huggingface/lerobot)。
提供机构:
binhpham



