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Weed Detection in Soybean Crops
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6b3a850·
Jul 28, 2021 12:11 PM
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Overview

From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 images. Through the Pynovisão software, using the SLIC algorithm, these images were segmented and the segments annotated manually with their respective class. These segments were used in the construction of the image dataset.

Citation

@article{dos2017weed,
  title={Weed detection in soybean crops using ConvNets},
  author={dos Santos Ferreira, Alessandro and Freitas, Daniel Matte and da Silva, Gercina Gon{\c{c}}alves
and Pistori, Hemerson and Folhes, Marcelo Theophilo},
  journal={Computers and Electronics in Agriculture},
  volume={143},
  pages={314--324},
  year={2017},
  publisher={Elsevier}
}
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数据集信息
应用场景暂无
标注类型CLASSIFICATION
任务类型暂无
LicenseCC BY-NC 3.0
更新时间2021-07-28 12:11:53
数据概要
数据格式暂无
数据数量15.34K
已标注数量15345
文件大小360MB
版权归属方
Alessandro dos Santos Ferreira
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