Romihi50/minicar-dataset

MiniCar自动驾驶数据集是一个用于自动驾驶迷你车训练的数据集，包含摄像头图像、传感器数据（如IMU）以及标注数据（如转向角度、油门）。数据集结构包括训练集和测试集，训练集包含图像文件夹、传感器数据文件夹和标注文件。标注格式包括图像路径、转向角度（范围-1.0到1.0）、油门（范围0.0到1.0）和时间戳。数据集适用于图像分类和物体检测任务，规模在1K到10K之间，许可证为MIT License。

The MiniCar Autonomous Driving Dataset is a training dataset for autonomous driving minicars, containing camera images, sensor data (e.g., IMU), and annotations (e.g., steering angle, throttle). The dataset structure includes training and test sets, with the training set containing image folders, sensor data folders, and annotation files. The annotation format includes image path, steering angle (range -1.0 to 1.0), throttle (range 0.0 to 1.0), and timestamp. The dataset is suitable for image classification and object detection tasks, with a size between 1K and 10K, and is licensed under the MIT License.