Synthetic Plants Dataset

Synthetic RGB-D Data for Plant Segmentation is a dataset for instance segmentation, semantic segmentation, and object detection tasks. Possible applications of the dataset could be in the agricultural industry. The dataset consists of 10000 images with 326754 labeled objects belonging to 4 different classes including leaf, petiole, stem, and other: fruit

合成RGB-D植物分割数据集是一款针对实例分割、语义分割和目标检测任务的数据库。该数据集在农业领域具有潜在的应用价值。数据库包含10000张图像，以及326754个标注对象，这些对象分为4个不同的类别，包括叶片、叶柄、茎和其它：果实。