MangoLeafBD Dataset

Type of data: 240x320 mango leaf images.
Data format: JPG.
Number of images: 4000 images. Of these, around 1800 are of distinct leaves, and the rest are prepared by zooming and rotating where
deemed necessary.
Diseases considered: Seven diseases, namely Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, and Sooty
Mould.
Number of classes: Eight (including the healthy category).
Distribution of instances: Each of the eight categories contains 500 images.
How data are acquired: Captured from mango trees through the mobile phone camera.
Data source locations: Four mango orchards of Bangladesh, namely Sher-e-Bangla Agricultural University orchard, Jahangir Nagar University
orchard, Udaypur village mango orchard, and Itakhola village mango orchard.
Where applicable: Suitable for distinguishing healthy and diseases leaves (two-class prediction) as well as for differentiating among various
diseases (multi-class prediction).