Rob2Pheno Annotated Tomato Image Dataset

Dataset of RGBD images of tomato plants in a production greenhouse (Enza Zaden BV) obtained using Realsense cameras, and object instance level ground truth annotations of the fruit for using object detectors such as MaskRCNN or YOLACT. These data were used to obtain the results reported in our paper Tomato Fruit Detection and Counting in Greenhouses using Deep Learning, Frontiers in Plant Science, 2020.<br>本数据集为生产型温室（Enza Zaden BV）内番茄植株的RGBD图像数据集，由实感相机（RealSense）采集获取，同时附带番茄果实的实例级真值标注，可用于MaskRCNN、YOLACT等目标检测器的训练与验证。该数据集被用于支撑我们2020年发表于《植物科学前沿》（Frontiers in Plant Science）的论文《基于深度学习的温室番茄果实检测与计数》中的实验结果。