Coffee leaf dataset by phytosanitary class

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Authors: John C. Santa-María
Cited by: 0

Abstract

This dataset consists of 1,500 digital images of coffee (Coffea arabica) leaves, collected from crops located in the city of Saposoa. The images represent three clearly differentiated phytosanitary conditions: healthy leaves, leaves affected by coffee leaf rust (Hemileia vastatrix), and leaves affected by coffee leaf spot (Mycena citricolor), with 500 images for each class, ensuring an equitable balance between categories.

Publication details

Journal / source
Mendeley Data
Publication date
7 January 2026
Document type
Dataset