A comprehensive image dataset of Bangladeshi mango variety

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-15 DOI:10.1016/j.dib.2025.111560

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

引用次数: 0

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.

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孟加拉国芒果品种的综合图像数据集

这篇数据文章介绍了从孟加拉国不同地点收集的主要数据集，其中包括10种主要在当地消费的不同芒果品种。这个芒果数据集包括以下类型：Amrapali， Bari-4, Bari-7, Fazlee, Harivanga, Kanchon langa, Katimon, langa， Mollika和Nilambori。使用数码单反相机拍摄每个芒果品种的高分辨率照片；因此，虽然图像在不同类型之间的分布并不均匀，但仍获得了2012张照片。该数据集提供了10种不同芒果类型的全面表示，每种芒果都有独特的味道，具有很大的影响和应用潜力。它在粮食生产和农业部门提供了一系列用途，并为进一步研究和开发提供了有见地的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.