Apple Image Dataset for Healthy and Infected Fruit Classification

Name: Apple Image Dataset for Healthy and Infected Fruit Classification
Creator: Mir Allahyar Talpur
Published: 2026-08-07T13:52:51.732Z
Keywords: Agricultural Science, Computer Science, Artificial Intelligence, Computer Vision

Talpur, Mir Allahyar; Ahmed, Syed Saad; Talpur, Bandeh Ali; Rehman, Mubariz; Ayyasamy, Ramesh Kumar; Talpur, Kazim Raza

doi:10.17632/n92vx869tr.1

Apple Image Dataset for Healthy and Infected Fruit Classification

Published: 7 August 2026| Version 1 | DOI: 10.17632/n92vx869tr.1

Contributors:

Mir Allahyar Talpur, Syed Saad Ahmed, Bandeh Ali Talpur, Mubariz Rehman, Ramesh Kumar Ayyasamy, Kazim Raza Talpur

Description

This dataset contains 1,045 labeled RGB images of apple fruits, including 545 healthy and 500 infected samples, collected from local fruit markets and retail shops in Islamabad, Pakistan. The dataset is designed for binary image classification, computer vision, deep learning, transfer learning, and automated fruit quality assessment.

Apple Image Dataset for Healthy and Infected Fruit Classification

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