Data for: Branch Detection for Apple Trees Trained in Fruiting Wall Architecture using Depth Features and Regions-Convolutional Neural Network (R-CNN)
Published: 14 November 2018| Version 8 | DOI: 10.17632/kvpmv75hvg.8
Contributors:
Jing Zhang,
Long He,
Zongmei Gao,
Xin Zhang,
Qin Zhang,
Manoj Karkee
Description
This data mainly includes the testing images of apple tree branches in our paper, and the corresponding R-CNN detection results.
Files
Categories
Agricultural Engineering, Machine Vision, Deep Learning