MLD24: An image dataset for mango leaf disease detection

This dataset contains images of Mango leaf disease. Images were collected from different mango orchards of Kushtia, Dhaka, Bangladesh. The following (.zip) folder contains eight classes. Among them, seven are the diseased classes, and one healthy class. The diseased classes are Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, and Sooty Mould. This is a balanced dataset, each of the classes contains 800 images. The images are compressed from 3024 × 4032 pixels to 240 × 240 pixels to compress the large memory size of the data. This dataset is a significant addition to the plant pathology and data science community. Image Size: 240 × 240 pixels Data Format: .jpg Number of images: 6400 (each class contains 800 images) Number of classes: 8 Name of the classes: Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, Sooty Mould and Healthy Device Details: Images captured by iPhone-SE