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}
}