rust (Hemileia vastatrix) and leaf miner (Leucoptera coffeella) in coffee crop (Coffea arabica).

This dataset was used in a research paper called "Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop", where we propose an algorithm and a mobile application to detect Rust and Leaf Miner in coffee leaves. We manually collected and labeled the images from a farm in Brazil, totalizing 285 images of the rust and 257 of the miner. The images are in the original captured resolution of 4000x2250 pixels. We used a simple smartphone camera to capture the images in RGB color system, and most parts of the photos were taken in a laboratory with a white background.

本数据集应用于一项名为《咖啡作物锈病与叶甲虫检测及量化的人工智能》的研究论文中，该论文提出了一种算法及移动应用，旨在检测咖啡叶上的锈病与叶甲虫。我们手动收集并标注了来自巴西农场的图像，总计包含285张锈病图像和257张叶甲虫图像。图像保持了原始的4000x2250像素分辨率。我们利用简单的智能手机摄像头以RGB色彩系统捕捉图像，且多数照片均在实验室环境下以白色背景拍摄而成。