Papaya Fruit Image Dataset for Ripeness and Defect Classification
Published: 22 June 2026| Version 1 | DOI: 10.17632/bby3y5ygwj.1
Contributor:
RUPA LALAMDescription
The dataset consists of digital images of papaya fruits collected under controlled conditions. the images are categorized into ripen and defected classes and are intended for computer vision and deep learning applications in automated fruits grading and quality evolution.
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Categories
Image Acquisition, Data Collection in Agriculture, Deep Learning