ashu010/agridrone-data

AgriDrone作物疾病检测数据集是一个用于农业领域的计算机视觉数据集，专注于小麦和水稻的疾病检测。数据集包含75,010张图像，分为24个文件夹，总大小为23.6 GB。这些图像用于训练一个21类的YOLOv8n-cls分类器，涵盖15种小麦疾病和6种水稻疾病。数据集结构包括训练分割（训练、验证和测试集）、小麦疾病类别（11个文件夹）、水稻疾病数据集（3个文件夹）、外部基准（3个文件夹）和原始检测集（1个文件夹）。数据集支持通过Python或CLI下载子集，并提供了直接使用图像URL的方法。

The AgriDrone Crop Disease Detection Dataset is a computer vision dataset for agricultural applications, focusing on the detection of diseases in wheat and rice crops. It contains 75,010 images organized into 24 folders, totaling 23.6 GB. These images are used to train a 21-class YOLOv8n-cls classifier, covering 15 wheat diseases and 6 rice diseases. The dataset structure includes training splits (training, validation, and test sets), wheat disease classes (11 folders), rice disease datasets (3 folders), external benchmarks (3 folders), and a raw detection set (1 folder). The dataset supports downloading subsets via Python or CLI and provides methods for directly using image URLs.