A comprehensive image dataset of Bangladeshi mango variety

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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Publication Details

Journal
Data in Brief
Published
2025-04-15
DOI
https://doi.org/10.1016/j.dib.2025.111560
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
3.50
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article

A comprehensive image dataset of Bangladeshi mango variety

Galib Muhammad Shahriar Himel, M.R.I. Sheikh, Md. Masudul Islam, Rup Kumar Bharati
2 citations
Data in Brief
Smart Agriculture and AI
3.50
article

A comprehensive image dataset of Bangladeshi mango variety

Galib Muhammad Shahriar Himel, M.R.I. Sheikh, Md. Masudul Islam, Rup Kumar Bharati
article en
2 citations

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.

Data in BriefVol. 60
Universiti Sains Malaysia (MY), Bangladesh University of Business and Technology (BD), Jahangirnagar University (BD)
Zero hunger
Openalex Percentile: Top 9%
Smart Agriculture and AI
3.50
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