yoohoolala/depth_ai02

该数据集是由LeRobot创建的机器人学习数据集，包含机器人动作、观测状态和图像等特征。数据集结构包括6个浮点型动作特征（肩关节、肘关节、手腕和夹持器的位置）、6个浮点型观测状态特征、720x1280分辨率的RGB图像视频数据（30fps）、时间戳、帧索引、情景索引等。总共有2个情景、598帧数据和1个任务，数据以parquet格式存储。

This dataset was created using LeRobot for robotics learning tasks. It contains features such as robot actions, observation states, and images. The dataset structure includes 6 float32 action features (positions of shoulder, elbow, wrist, and gripper), 6 float32 observation state features, RGB video data at 720x1280 resolution (30fps), timestamps, frame indices, episode indices, etc. There are a total of 2 episodes, 598 frames, and 1 task, with data stored in parquet format.