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A comprehensive image dataset of Bangladeshi mango variety.

作者信息

Bharati Rup Kumar, Islam Md Masudul, Sheikh Md Ripon, Himel Galib Muhammad Shahriar

机构信息

Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh.

Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh.

出版信息

Data Brief. 2025 Apr 15;60:111560. doi: 10.1016/j.dib.2025.111560. eCollection 2025 Jun.

DOI:10.1016/j.dib.2025.111560
PMID:40342907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12060503/
Abstract

This data article presents a primary dataset collected from various locations in Bangladesh, featuring 10 different mango varieties that are mostly consumed locally. This mango dataset includes the following types: Amrapali, Bari-4, Bari-7, Fazlee, Harivanga, Kanchon Langra, Katimon, Langra, Mollika, and Nilambori. A DSLR camera was used to take high-resolution pictures of every mango variety; as a consequence, 2012 photographs were obtained, although the distribution of images among types is not uniform. This dataset, which provides a thorough representation of 10 distinct mango types, each with a distinct flavour, has a great deal of potential for impact and application. It offers a range of uses in the food production and agriculture sectors and offers insightful information for further study and development.

摘要

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引用本文的文献

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Data Brief. 2025 Jul 21;62:111908. doi: 10.1016/j.dib.2025.111908. eCollection 2025 Oct.