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Project Accession: IBIAP_1000000007
Title: Facilitating spice recognition and classification: An image dataset of Indian spices
Representative Image:
Description: 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.
Publications: https://doi.org/10.1016/j.dib.2024.110936
Funding agency: N/A
Grant Number: N/A
Ethics Statement: N/A
Any Other Information : N/A
Additional File: N/A
Acknowledgments: We are grateful to Kasetsart University Sriracha Campus, Thailand and Vishwakarma University, Pune for their support and provision of necessary resources during this research endeavour. We would also like to extend our gratitude to Mr. Aditya Wandhekar of Vishwakarma University for his invaluable support in the evaluation of the dataset using pre-trained machine learning models.

Sr.No First name Last name Email Organization Designation
1 Sandip Thite N/A Vishwakarma University, Pune Unspecified
2 Deepali Godse N/A Bharati Vidyapeeth's College of Engineering for Women, Pune Unspecified
3 Kailas Patil kailas.patil@vupune.ac.in Vishwakarma University, Pune Principal Investigator
4 Prawit Chumchu N/A Kasetsart University, Sriracha, Thailand Unspecified
5 Alfa Nyandoro anyandoro@regent.edu Regent University, Virginia Beach, VA, USA Principal Investigator

Study Accession: PPS_1000000011
Title: Facilitating spice recognition and classification: An image dataset of Indian spices
Imaging Type: Plant Photography (PP)
Imaging Sub-type: Not Applicable
Summary: 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.
Keywords: Agriculture, Culinary art, Food science, Indian spices, Spice classification
Additional / Any Other Information: N/A
Release Date: Dec. 12, 2024
Access Licence Type: Open Access

Table 1. The sample types registered under this study are as follows:
Sample Type IDOrganismTaxon IDBiological EntityLateralitySource TissueSource Cell/Cell-lineCell Organelle
PPSMT_10000000020Piper nigrum 13216 FruitNot ApplicableN/AN/AN/A
PPSMT_10000000018Cinnamomum tamala 397098 LeafNot ApplicableN/AN/AN/A
PPSMT_10000000019Amomum subulatum 1008370 Seed/SeedpodNot ApplicableN/AN/AN/A
PPSMT_10000000021Carum carvi 48032 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000022Cinnamomum verum 128608 BarkNot ApplicableN/AN/AN/A
PPSMT_10000000024Coriandrum sativum 4047 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000025Piper cubeba 405322 FruitNot ApplicableN/AN/AN/A
PPSMT_10000000026Cuminum cyminum 52462 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000028Capsicum annuum 4072 FruitNot ApplicableN/AN/AN/A
PPSMT_10000000029Anethum foeniculum 2849586 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000030Elettaria cardamomum 105181 Seed/SeedpodNot ApplicableN/AN/AN/A
PPSMT_10000000031Myristica fragrans 51089 ArilNot ApplicableN/AN/AN/A
PPSMT_10000000032Myristica fragrans 51089 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000033Papaver somniferum 3469 SeedNot ApplicableN/AN/AN/A
PPSMT_10000000034Illicium verum 124778 Fruit/SeedNot ApplicableN/AN/AN/A
PPSMT_10000000035Parmotrema perlatum 172635 N/ANot ApplicableN/AN/AN/A
PPSMT_10000000023Syzygium aromaticum 219868 FlowerNot ApplicableN/AN/AN/A
PPSMT_10000000017Ferula assa-foetida 52470 Stem/RootNot ApplicableN/AN/AN/A
PPSMT_10000000027Zingiber officinale 94328 StemNot ApplicableN/AN/AN/A

Table 2. The samples registered under this study are as follows:
Sample Type ID Sample ID Plant Part Used Plant Variety Name Sample Source Geographic Location (latitude) Geographic Location (longitude)
PPSMT_10000000018 PPSM_10000027752 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027753 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027754 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027755 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027756 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027757 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027758 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027759 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027760 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027761 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027762 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027763 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026680 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026682 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026684 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026686 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026688 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026690 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026692 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000026694 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397

Table 3. The experiment types registered under this study are as follows:
Experiment Type IDInstrument NameInstrument TypeManufacturerModel
PPET_10000000005CameraSmart PhoneSamsungSM-E236B


Experimental Design Summary (PPET_10000000005)
This dataset comprises a comprehensive collection of 10,991 high-quality images showcasing 19 distinct types of Indian spices, captured at Market Yard, Gultekadi, Pune, Maharashtra, India. Each spice category—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 is meticulously organized into separate folders. For each category, multiple images were taken from various angles and under different lighting conditions, ensuring a rich and diverse collection. The images were captured under controlled lighting conditions to maintain consistent quality. All images are saved in JPG format and have been resized to a uniform resolution of 810 × 1080 pixels for efficient storage and processing. The creation of the Indian spices dataset follows a structured five-stage process. First, Market Yard in Gultekadi, Pune, Maharashtra, India, was identified for its extensive variety of authentic spices. Then, 19 essential spices, including Asafoetida, Bay Leaf, Black Cardamom, and others, were carefully selected to represent the diversity of Indian cuisine. High-quality images were captured using a high-resolution smartphone camera under controlled lighting conditions, with multiple photographs taken from various angles. These images were manually labelled and classified into categories to ensure accurate and reliable data. Finally, the images were organized into folders based on spice type, saved in JPG format with a resolution of 810×1080 pixels, and systematically stored for easy retrieval and analysis, making the dataset a valuable resource for machine learning, image recognition, and culinary studies.The image acquisition stage involves capturing high-quality images of the selected spices. Using professional-grade cameras and lighting equipment, the spices are meticulously arranged and photographed from multiple angles with most images taken from the top view to ensure clear visibility of their distinct features.

Acquired Images Annotation Description (PPET_10000000005)
Following image acquisition, the dataset undergoes image classification, where each image is labelled with its corresponding spice category. This stage involves manually assigning labels to images based on the spice they represent.

Table 4. The experiments registered under this study are as follows:
Sample ID Experiment Type ID Experiment ID Image type (Original / Derived / Unknown) Any Other Information Light Source Camera Specifications Images Resolution (in MP) Aperture Value Exposure Time F Number Focal Length Metering Mode Shutter Speed Value Type of Images
PPSM_10000027184 PPET_10000000005 PPE_10000027184 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027185 PPET_10000000005 PPE_10000027185 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027186 PPET_10000000005 PPE_10000027186 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027187 PPET_10000000005 PPE_10000027187 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000027188 PPET_10000000005 PPE_10000027188 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027189 PPET_10000000005 PPE_10000027189 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027190 PPET_10000000005 PPE_10000027190 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000027191 PPET_10000000005 PPE_10000027191 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027192 PPET_10000000005 PPE_10000027192 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027193 PPET_10000000005 PPE_10000027193 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000035990 PPET_10000000005 PPE_10000034512 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000027198 PPET_10000000005 PPE_10000027198 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027199 PPET_10000000005 PPE_10000027199 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027200 PPET_10000000005 PPE_10000027200 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027201 PPET_10000000005 PPE_10000027201 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027202 PPET_10000000005 PPE_10000027202 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027203 PPET_10000000005 PPE_10000027203 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027204 PPET_10000000005 PPE_10000027204 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027205 PPET_10000000005 PPE_10000027205 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027206 PPET_10000000005 PPE_10000027206 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices

Experiment ID Image File Name (with path) Image Preview Image Size
PPE_10000026856Indian_spices/BayLeaf/BayLeaf177.jpg

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144K
PPE_10000026857Indian_spices/BayLeaf/BayLeaf178.jpg

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144K
PPE_10000026858Indian_spices/BayLeaf/BayLeaf179.jpg

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140K
PPE_10000026859Indian_spices/BayLeaf/BayLeaf180.jpg

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140K
PPE_10000026860Indian_spices/BayLeaf/BayLeaf181.jpg

Download Image
144K
PPE_10000026861Indian_spices/BayLeaf/BayLeaf182.jpg

Download Image
144K
PPE_10000026862Indian_spices/BayLeaf/BayLeaf183.jpg

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136K
PPE_10000026863Indian_spices/BayLeaf/BayLeaf184.jpg

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136K
PPE_10000026864Indian_spices/BayLeaf/BayLeaf185.jpg

Download Image
128K
PPE_10000026865Indian_spices/BayLeaf/BayLeaf186.jpg

Download Image
128K