A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle

This paper presents a dataset of 4507 annotated images of African plums collected across diverse regions in Cameroon, marking the first dataset specifically designed for AI-driven quality assessment of this fruit. The dataset is categorized into six quality grades: unaffected, bruised, cracked, rott...

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Bibliographic Details
Main Authors:	Arnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, Marcellin Atemkeng
Format:	Article
Language:	English
Published:	Elsevier 2025-04-01
Series:	Data in Brief
Subjects:	African plum Safou Agricultural dataset Fruit quality assessment Image classification Object detection
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340925000836
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A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle

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