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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_10000000020 PPSM_10000028110 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028130 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028157 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028184 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028211 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028238 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028265 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028292 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028319 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028346 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028373 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028374 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028375 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028376 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028377 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028378 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028379 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028380 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028381 Fruit N/A Market Yard, Gultekadi, Pune, Maharashtra 411,037 18.4912368559697 73.8703350712397
PPSMT_10000000020 PPSM_10000028382 Fruit 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_10000028008 PPET_10000000005 PPE_10000028008 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028009 PPET_10000000005 PPE_10000028009 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028010 PPET_10000000005 PPE_10000028010 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028011 PPET_10000000005 PPE_10000028011 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028012 PPET_10000000005 PPE_10000028012 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028013 PPET_10000000005 PPE_10000028013 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028014 PPET_10000000005 PPE_10000028014 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028015 PPET_10000000005 PPE_10000028015 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028017 PPET_10000000005 PPE_10000028017 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028018 PPET_10000000005 PPE_10000028018 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028019 PPET_10000000005 PPE_10000028019 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028020 PPET_10000000005 PPE_10000028020 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028021 PPET_10000000005 PPE_10000028021 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028022 PPET_10000000005 PPE_10000028022 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028024 PPET_10000000005 PPE_10000028024 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028025 PPET_10000000005 PPE_10000028025 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028026 PPET_10000000005 PPE_10000028026 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028027 PPET_10000000005 PPE_10000028027 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028028 PPET_10000000005 PPE_10000028028 Derived N/A 21 Samsung-SM-E236B 810×1080 1.69 0.01 1.8 4.6 2 6.643 Spices
PPSM_10000028029 PPET_10000000005 PPE_10000028029 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_10000027316Indian_spices/BayLeaf/BayLeaf637.jpg

Download Image
48K
PPE_10000027317Indian_spices/BayLeaf/BayLeaf638.jpg

Download Image
120K
PPE_10000027318Indian_spices/BayLeaf/BayLeaf639.jpg

Download Image
44K
PPE_10000027319Indian_spices/BayLeaf/BayLeaf640.jpg

Download Image
44K
PPE_10000027320Indian_spices/BayLeaf/BayLeaf641.jpg

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44K
PPE_10000027321Indian_spices/BayLeaf/BayLeaf642.jpg

Download Image
36K
PPE_10000027322Indian_spices/BayLeaf/BayLeaf643.jpg

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36K
PPE_10000027323Indian_spices/BayLeaf/BayLeaf644.jpg

Download Image
44K
PPE_10000027324Indian_spices/BayLeaf/BayLeaf645.jpg

Download Image
44K
PPE_10000027325Indian_spices/BayLeaf/BayLeaf646.jpg

Download Image
40K