Dataset of "Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network" paper

This includes the relevant datasets to: Khoroshevsky, F., Khoroshevsky, S., & Bar-Hillel, A. (2021). Parts-per-object count in agricultural images: Solving phenotyping problems via a single deep neural network. Remote Sens. 13(13), 2496. https://doi.org/10.3390/rs13132496 Datasets related to wheat and banana are not public since it belongs to the Israel Phenomics consortium. This research was funded by the Generic technological R&D program of the Israel innovation authority-the Phenomics consortium, and the Ministry of Science & Technology, Israel.

本数据集涵盖与下述研究相关的数据集：Khoroshevsky F、Khoroshevsky S与Bar-Hillel A于2021年发表的《农业图像逐目标部件计数：依托单深度神经网络解决表型分析难题》，刊载于《遥感》（Remote Sens.）13卷第13期，文章编号2496，DOI：10.3390/rs13132496。与小麦、香蕉相关的数据集因隶属于以色列表型组学联盟（Israel Phenomics consortium），暂未对外公开。本研究获以色列创新署通用技术研发计划——表型组学联盟，以及以色列科学与技术部资助。