SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars

This data paper introduces a comprehensive visual dataset of 11 globally significant spices, comprising 11,000 high-quality images curated to support research and applications in agriculture, trade, and culinary arts. The dataset features the following spices: Black Pepper, Cardamom, Cinnamon, Cloves, Coriander, Cumin, Ginger, Nutmeg, Paprika, Saffron, and Turmeric, selected for their economic importance, medicinal value, and widespread culinary use across global cuisines. Images were collected from Bangladesh, capturing diverse lighting conditions, backgrounds, natural textures, packaging styles, and multiple angles to reflect real-world scenarios. Stored in JPG format at a standardized 512 × 512 pixel resolution, the dataset is organized into dedicated folders with 1000 images per spice, ensuring consistency and ease of use. This resource is designed to facilitate machine learning and computer vision applications, such as spice recognition, classification, and quality assessment, as well as AI-driven tools for agricultural analysis and trade monitoring. By providing a robust and diverse visual dataset, this collection aims to advance research and to assist innovation in the global spice industry.

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Publication Details

Journal
Data in Brief
Published
2025-09-23
DOI
https://doi.org/10.1016/j.dib.2025.112097
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars

S. M. Shahinul Islam, Noor Mairukh Khan Arnob, Md Mubtasim Fuad, Md Noushad Jahan Ramim et al.
Data in Brief
Spectroscopy and Chemometric Analyses
article

SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars

S. M. Shahinul Islam, Noor Mairukh Khan Arnob, Md Mubtasim Fuad, Md Noushad Jahan Ramim, Muhtasin Towkir
article en

Abstract

This data paper introduces a comprehensive visual dataset of 11 globally significant spices, comprising 11,000 high-quality images curated to support research and applications in agriculture, trade, and culinary arts. The dataset features the following spices: Black Pepper, Cardamom, Cinnamon, Cloves, Coriander, Cumin, Ginger, Nutmeg, Paprika, Saffron, and Turmeric, selected for their economic importance, medicinal value, and widespread culinary use across global cuisines. Images were collected from Bangladesh, capturing diverse lighting conditions, backgrounds, natural textures, packaging styles, and multiple angles to reflect real-world scenarios. Stored in JPG format at a standardized 512 × 512 pixel resolution, the dataset is organized into dedicated folders with 1000 images per spice, ensuring consistency and ease of use. This resource is designed to facilitate machine learning and computer vision applications, such as spice recognition, classification, and quality assessment, as well as AI-driven tools for agricultural analysis and trade monitoring. By providing a robust and diverse visual dataset, this collection aims to advance research and to assist innovation in the global spice industry.

Data in BriefVol. 63
University of Asia Pacific (BD)
Openalex Percentile: Top 67%
Spectroscopy and Chemometric Analyses
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