Project-AgML/

soybean_weed_uav_brazil

A dataset for image classification of Soybean Weed Uav Brazil. The dataset contains 15,336 images across 4 classes: broadleaf, grass, soil, soybean.Images per class:

broadleaf: 1,191 grass: 3,520 soil: 3,249 soybean: 7,376

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

dos Santos Ferreira, Alessandro; Pistori, Hemerson; Matte Freitas, Daniel; Gonçalves da Silva, Gercina (2017)… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/soybean_weed_uav_brazil.