vladimirmodylevskii/tomato-harvest-final-v1

该数据集是一个用于机器人学任务的数据集，通过LeRobot工具创建。它包含机器人执行任务时的动作和状态观测数据，以及从前视和顶部视角采集的视频图像。数据集具体特征包括：动作（6个浮点数，对应机器人关节位置）、观测状态（6个浮点数，对应关节位置）、前视图像（480x640分辨率、3通道、30fps的视频）、顶部图像（480x640分辨率、3通道、30fps的视频），以及时间戳、帧索引、回合索引、索引和任务索引。数据集总共有80个回合，29153帧，1个任务。机器人类型为so_follower，数据以parquet格式存储，视频以mp4格式存储，数据文件总大小为100MB，视频文件总大小为200MB。This dataset is designed for robotics tasks and was created using the LeRobot tool. It includes action and state observation data from a robot performing tasks, along with video images captured from front and top perspectives. Specific features of the dataset include: action (6 floating-point numbers representing robot joint positions), observation state (6 floating-point numbers representing joint positions), front observation images (video with 480x640 resolution, 3 channels, 30fps), top observation images (video with 480x640 resolution, 3 channels, 30fps), as well as timestamp, frame index, episode index, index, and task index. The dataset contains a total of 80 episodes, 29153 frames, and 1 task. The robot type is so_follower, with data stored in parquet format and videos in mp4 format. The total data file size is 100MB, and the total video file size is 200MB.