Facilitating spice recognition and classification: An image dataset of Indian spices

This data paper presents a comprehensive visual dataset of 19 distinct types of Indian spices, consisting of high-quality images meticulously curated to facilitate various research and educational applications. The dataset includes extensive imagery of the following spices: Asafoetida, Bay Leaf, Black Cardamom, Black Pepper, Caraway Seeds, Cinnamon Stick, Cloves, Coriander Seeds, Cubeb Pepper, Cumin Seeds, Dry Ginger, Dry Red Chilly, Fennel Seeds, Green Cardamom, Mace, Nutmeg, Poppy Seeds, Star Anise, and Stone Flowers. Each image in the dataset has been captured under controlled conditions to ensure consistency and clarity, making it an invaluable resource for studies in food science, agriculture, and culinary arts. The dataset can also support machine learning and computer vision applications, such as spice recognition and classification. By providing detailed visual documentation, this dataset aims to promote a deeper understanding and appreciation of the rich diversity of Indian spices.

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Publication Details

Journal
Data in Brief
Published
2024-09-21
DOI
https://doi.org/10.1016/j.dib.2024.110936
Citations
4
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.94

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article

Facilitating spice recognition and classification: An image dataset of Indian spices

Deepali Godse, Prawit Chumchu, Sandip Thite, Kailas Patil et al.
4 citations
Data in Brief
Spectroscopy and Chemometric Analyses
0.94
article

Facilitating spice recognition and classification: An image dataset of Indian spices

Deepali Godse, Prawit Chumchu, Sandip Thite, Kailas Patil, Alfa Nyandoro
article en
4 citations

Abstract

This data paper presents a comprehensive visual dataset of 19 distinct types of Indian spices, consisting of high-quality images meticulously curated to facilitate various research and educational applications. The dataset includes extensive imagery of the following spices: Asafoetida, Bay Leaf, Black Cardamom, Black Pepper, Caraway Seeds, Cinnamon Stick, Cloves, Coriander Seeds, Cubeb Pepper, Cumin Seeds, Dry Ginger, Dry Red Chilly, Fennel Seeds, Green Cardamom, Mace, Nutmeg, Poppy Seeds, Star Anise, and Stone Flowers. Each image in the dataset has been captured under controlled conditions to ensure consistency and clarity, making it an invaluable resource for studies in food science, agriculture, and culinary arts. The dataset can also support machine learning and computer vision applications, such as spice recognition and classification. By providing detailed visual documentation, this dataset aims to promote a deeper understanding and appreciation of the rich diversity of Indian spices.

Data in BriefVol. 57
Regent University (US), Kasetsart University (TH), Vishwakarma University, Bharati Vidyapeeth (Deemed to be University) (IN)
Kasetsart University
Zero hunger
Openalex Percentile: Top 29%
Spectroscopy and Chemometric Analyses
0.94
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Facilitating spice recognition and classification: An image dataset of Indian spices — Deepali Godse, Prawit Chumchu, et al. · Data in Brief (2024) | TGRS Research Map | TGRS