A Comprehensive Mango Leaf Disease Dataset with Semantic Annotations

The Mango Leaf Disease dataset comprises a collection of images of mango leaves gathered from an orchard in Ramgarh, Khagrachari, Bangladesh, specifically from Sierra Agro, located at the geographical coordinates 22.98123°N and 91.76185°E. The data collection took place between October 10 and October 12, 2024. The dataset contains a total of 2,731 images, including both healthy leaves and diseased leaves. These images are categorized into five distinct classes: Anthracnose, Dag Disease, Red Rust, Galls, and Healthy. The photographs were taken using the high-resolution camera of an iPhone 12 under natural lighting conditions on sunny days, with temperatures ranging from 28°C to 30°C. The original images were captured in HEIF format and later converted to JPG format, with dimensions of 2543x3390 pixels. For practical use, the images have been resized to 640x480 pixels with a resolution of 72 dpi. Additionally, the dataset includes detailed annotations that categorize the diseases, facilitating semantic segmentation, a feature that has garnered significant attention from data scientists.芒果叶病害数据集（Mango Leaf Disease Dataset）由采集自孟加拉国吉大港专区拉姆加尔的塞拉农业（Sierra Agro）果园的芒果叶片图像集合组成，该果园地理坐标为22.98123°N、91.76185°E。数据采集工作于2024年10月10日至10月12日期间开展。本数据集总计包含2731张图像，涵盖健康叶片与染病叶片两类样本，并被划分为5个明确类别：炭疽病（Anthracnose）、达格病（Dag Disease）、红锈病（Red Rust）、虫瘿（Galls）以及健康叶片（Healthy）。所有照片均采用iPhone 12的高分辨率摄像头拍摄，拍摄环境为晴天自然光照，环境温度介于28℃至30℃之间。原始图像以HEIF格式拍摄，后续转换为JPG格式，原始尺寸为2543×3390像素。为适配实际应用场景，所有图像已被统一调整为640×480像素，分辨率为72 dpi。此外，本数据集附带针对病害类别的详细标注，可支持语义分割任务，该特性已获得数据科学家的广泛关注。