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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_10000027632 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027633 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027634 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027635 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027636 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027637 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027638 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027639 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027640 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027641 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027642 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027643 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027644 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027645 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027646 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027647 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027648 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027649 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027650 Leaf N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037. 18.4912368559697 73.8703350712397
PPSMT_10000000018 PPSM_10000027651 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_10000027040 PPET_10000000005 PPE_10000027040 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027041 PPET_10000000005 PPE_10000027041 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000035974 PPET_10000000005 PPE_10000034496 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000027046 PPET_10000000005 PPE_10000027046 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027047 PPET_10000000005 PPE_10000027047 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027048 PPET_10000000005 PPE_10000027048 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027049 PPET_10000000005 PPE_10000027049 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027050 PPET_10000000005 PPE_10000027050 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027051 PPET_10000000005 PPE_10000027051 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027052 PPET_10000000005 PPE_10000027052 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027053 PPET_10000000005 PPE_10000027053 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027054 PPET_10000000005 PPE_10000027054 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027055 PPET_10000000005 PPE_10000027055 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027056 PPET_10000000005 PPE_10000027056 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027057 PPET_10000000005 PPE_10000027057 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027058 PPET_10000000005 PPE_10000027058 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027059 PPET_10000000005 PPE_10000027059 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.02 1.8 4.6 2 5.643 Spices
PPSM_10000027060 PPET_10000000005 PPE_10000027060 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000035976 PPET_10000000005 PPE_10000034498 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000027065 PPET_10000000005 PPE_10000027065 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_10000026796Indian_spices/BayLeaf/BayLeaf117.jpg

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132K
PPE_10000026797Indian_spices/BayLeaf/BayLeaf118.jpg

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120K
PPE_10000026798Indian_spices/BayLeaf/BayLeaf119.jpg

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120K
PPE_10000026799Indian_spices/BayLeaf/BayLeaf120.jpg

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120K
PPE_10000026800Indian_spices/BayLeaf/BayLeaf121.jpg

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120K
PPE_10000026801Indian_spices/BayLeaf/BayLeaf122.jpg

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120K
PPE_10000026802Indian_spices/BayLeaf/BayLeaf123.jpg

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120K
PPE_10000026803Indian_spices/BayLeaf/BayLeaf124.jpg

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124K
PPE_10000026804Indian_spices/BayLeaf/BayLeaf125.jpg

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124K
PPE_10000026805Indian_spices/BayLeaf/BayLeaf126.jpg

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168K