Corn Leaf Diseases is a dataset of corn leaf images specifically designed for target detection tasks in precision agriculture. It aims to improve the model's ability to detect and classify diseases in agricultural scenarios and is widely used in intelligent agricultural monitoring and early warning, as well as in the training of computer vision models. This dataset contains 4,027 images of maize leaves, covering four categories and including healthy maize leaves as well as three common diseases: rust, gray spot, and wilt. The dataset has been preprocessed and formatted in standard YOLO, divided into training and validation sets. Each image has a corresponding .txt file containing bounding box coordinates and a class ID.

Dataset composition:

• Corn__CommonRust: 1,307 images, 1,318 bounding boxes
• Corn__GrayLeafSpot (corn gray leaf spot): 580 images, 594 bounding boxes
• Corn__Healthy: 1,157 images, 1,157 bounding boxes
• Corn__NorthernLeafBlight (Northern Leaf Blight of Corn): 983 images, 989 bounding boxes

  

Citations

• PlantVillage
• PlantDoc
• BioDome