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The dataset of the manuscript "A Fully Convolutional Network for weed mapping of Unmanned Aerial Vehicle (UAV) Imagery"

Version 2 2017-12-28, 13:39
Version 1 2017-12-28, 13:31
dataset
posted on 2017-12-28, 13:39 authored by Huasheng HuangHuasheng Huang, Jizhong Deng, Yubin Lan, Aqing Yang, Xiaoling Deng, Lei Zhang
The folder 'rice_data' containing the training dataset and validation dataset.

All the UAV imagery were in the folder: 'rice_data\image': DJI_0087_0.png DJI_0087_1.png ......
All the Ground Truth images was in the folder: 'rice_data\image': DJI_0087_0.png DJI_0087_1.png ......
The Ground Truth images correspond to the UAV imagery with a same name

The file names of the training dataset were recorded in the file 'rice_data\train.txt' using the form like: image/DJI_0114_2.png gt_image/DJI_0114_2.png ......
Each line in the file 'rice_data\train.txt' represents one sample, where the names of UAV imagery and the Ground Truth image were separated by a blank.

The file names of the training dataset was recorded in the file 'rice_data\val.txt' like: image/DJI_0101_2.png gt_image/DJI_0101_2.png ......
Each line in the file 'rice_data\val.txt' represents one sample, where the names of the UAV imagery and the Ground Truth image were separated by a blank.

Funding

This work was supported by Science and Technology Planning Project of Guangdong Province, China (2017A020208046), The National Natural Science Fund, China (61675003), and the National Key Research and Development Plan:High Efficient Ground and Aerial Spraying Technology and Intelligent Equipment, China (Grant No. 2016YFD0200700)

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