Mango_Fruit_Disease_Dataset
Published: 13 June 2025| Version 1 | DOI: 10.17632/w8sw34p752.1
Contributors:
Farhan Masud Nayem, , , Description
This dataset comprises 4,200 images, evenly categorized into 5 distinct classes. It was developed for a computer vision project undertaken by undergraduate students in the Department of Computer Science and Engineering. Netrokona University, Netrokona, Bangladesh. The collection features both original and augmented images, all uniformly resized to 512x512 pixels using high-quality LANCZOS interpolation to maintain visual clarity.
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Categories
Agricultural Science, Computer Science, Artificial Intelligence, Computer Vision, Image Processing, Machine Learning, Plant Pathology