Papaya Leaf Disease Dataset

Published: 23 February 2026| Version 1 | DOI: 10.17632/zjpvzx5nrb.1
Contributors:
Mosa Nadia Sultana Pria,
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Description

1. This dataset consists of five different papaya leaf classes—Crushed Papaya Leaves, Healthy Leaf, Mold, Mosaic, and Potash Deficiency—developed to facilitate the creation of machine vision-based algorithms. 2. A total of 2,500 papaya leaf images were collected from real agricultural fields. To increase the number of data samples, various data augmentation techniques, including shifting, flipping, zooming, shearing, brightness enhancement, and rotation, were applied, resulting in a total of 15,000 augmented images derived from the original dataset.

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Computer Vision, Image Processing, Deep Learning

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