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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
Associated Codes (URL only): N/A
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_10000000022 PPSM_10000029984 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029985 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029986 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029987 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029988 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029989 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029990 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029991 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029992 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029993 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029994 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029995 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029996 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029997 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029998 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000029999 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000030000 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000030001 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000030002 Bark N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000022 PPSM_10000030003 Bark 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_10000030730 PPET_10000000005 PPE_10000029620 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030731 PPET_10000000005 PPE_10000029621 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030732 PPET_10000000005 PPE_10000029622 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030733 PPET_10000000005 PPE_10000029623 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030734 PPET_10000000005 PPE_10000029624 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000034112 PPET_10000000005 PPE_10000032634 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030737 PPET_10000000005 PPE_10000029627 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030738 PPET_10000000005 PPE_10000029628 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030739 PPET_10000000005 PPE_10000029629 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030740 PPET_10000000005 PPE_10000029630 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030741 PPET_10000000005 PPE_10000029631 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030743 PPET_10000000005 PPE_10000029633 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030744 PPET_10000000005 PPE_10000029634 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030745 PPET_10000000005 PPE_10000029635 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030746 PPET_10000000005 PPE_10000029636 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030747 PPET_10000000005 PPE_10000029637 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030748 PPET_10000000005 PPE_10000029638 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030749 PPET_10000000005 PPE_10000029639 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030750 PPET_10000000005 PPE_10000029640 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000030751 PPET_10000000005 PPE_10000029641 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices

Experiment ID Image File Name (with path) Image Preview Image Size
PPE_10000028096Indian_spices/BlackCardamom/BlackCardamom332.jpg

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64K
PPE_10000028097Indian_spices/BlackCardamom/BlackCardamom333.jpg

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64K
PPE_10000028098Indian_spices/BlackCardamom/BlackCardamom334.jpg

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60K
PPE_10000028099Indian_spices/BlackCardamom/BlackCardamom335.jpg

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56K
PPE_10000028100Indian_spices/BlackCardamom/BlackCardamom336.jpg

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48K
PPE_10000028101Indian_spices/BlackCardamom/BlackCardamom337.jpg

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60K
PPE_10000028102Indian_spices/BlackCardamom/BlackCardamom338.jpg

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56K
PPE_10000028103Indian_spices/BlackCardamom/BlackCardamom339.jpg

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56K
PPE_10000028104Indian_spices/BlackCardamom/BlackCardamom340.jpg

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68K
PPE_10000028105Indian_spices/BlackCardamom/BlackCardamom341.jpg

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52K