Data for: Branch Detection for Apple Trees Trained in Fruiting Wall Architecture using Depth Features and Regions-Convolutional Neural Network (R-CNN)

Published: 10 Nov 2018 | Version 4 | DOI: 10.17632/kvpmv75hvg.4

Description of this data

This data mainly includes the testing images of apple tree branches in our paper, and the corresponding R-CNN detection results.

Experiment data files

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Agricultural Engineering, Machine Vision, Deep Learning


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The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.