| 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 | 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:
Table 2. The samples registered under this study are as follows:
| Sample Type ID | Organism | Taxon ID | Biological Entity | Laterality | Source Tissue | Source Cell/Cell-line | Cell Organelle |
|---|---|---|---|---|---|---|---|
| PPSMT_10000000020 | Piper nigrum | 13216 | Fruit | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000018 | Cinnamomum tamala | 397098 | Leaf | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000019 | Amomum subulatum | 1008370 | Seed/Seedpod | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000021 | Carum carvi | 48032 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000022 | Cinnamomum verum | 128608 | Bark | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000024 | Coriandrum sativum | 4047 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000025 | Piper cubeba | 405322 | Fruit | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000026 | Cuminum cyminum | 52462 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000028 | Capsicum annuum | 4072 | Fruit | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000029 | Anethum foeniculum | 2849586 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000030 | Elettaria cardamomum | 105181 | Seed/Seedpod | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000031 | Myristica fragrans | 51089 | Aril | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000032 | Myristica fragrans | 51089 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000033 | Papaver somniferum | 3469 | Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000034 | Illicium verum | 124778 | Fruit/Seed | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000035 | Parmotrema perlatum | 172635 | N/A | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000023 | Syzygium aromaticum | 219868 | Flower | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000017 | Ferula assa-foetida | 52470 | Stem/Root | Not Applicable | N/A | N/A | N/A |
| PPSMT_10000000027 | Zingiber officinale | 94328 | Stem | Not Applicable | N/A | N/A | N/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_10000027177 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027179 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027181 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027183 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027185 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027187 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027189 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027191 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027195 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027197 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027199 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027201 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027203 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027205 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027207 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027209 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027211 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027213 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027215 | Leaf | N/A | Market Yard, Gultekadi, Pune, Maharashtra 411,037. | 18.4912368559697 | 73.8703350712397 |
| PPSMT_10000000018 | PPSM_10000027217 | 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 ID | Instrument Name | Instrument Type | Manufacturer | Model |
|---|---|---|---|---|
| PPET_10000000005 | Camera | Smart Phone | Samsung | SM-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_10000027446 | PPET_10000000005 | PPE_10000027446 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027447 | PPET_10000000005 | PPE_10000027447 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027448 | PPET_10000000005 | PPE_10000027448 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027449 | PPET_10000000005 | PPE_10000027449 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027450 | PPET_10000000005 | PPE_10000027450 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027451 | PPET_10000000005 | PPE_10000027451 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027452 | PPET_10000000005 | PPE_10000027452 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027453 | PPET_10000000005 | PPE_10000027453 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027454 | PPET_10000000005 | PPE_10000027454 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027455 | PPET_10000000005 | PPE_10000027455 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027456 | PPET_10000000005 | PPE_10000027456 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027457 | PPET_10000000005 | PPE_10000027457 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027458 | PPET_10000000005 | PPE_10000027458 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027459 | PPET_10000000005 | PPE_10000027459 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000036018 | PPET_10000000005 | PPE_10000034540 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.01 | 1.8 | 4.6 | 2 | 6.643 | Spices |
| PPSM_10000027464 | PPET_10000000005 | PPE_10000027464 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.01 | 1.8 | 4.6 | 2 | 6.643 | Spices |
| PPSM_10000027465 | PPET_10000000005 | PPE_10000027465 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027466 | PPET_10000000005 | PPE_10000027466 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027467 | PPET_10000000005 | PPE_10000027467 | Derived | N/A | 21 | Samsung-SM-E236B | 810×1080 | 1.69 | 0.02 | 1.8 | 4.6 | 2 | 5.643 | Spices |
| PPSM_10000027468 | PPET_10000000005 | PPE_10000027468 | 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_10000026966 | Indian_spices/BayLeaf/BayLeaf287.jpg |  Download Image |
52K |
| PPE_10000026967 | Indian_spices/BayLeaf/BayLeaf288.jpg |  Download Image |
52K |
| PPE_10000026968 | Indian_spices/BayLeaf/BayLeaf289.jpg |  Download Image |
52K |
| PPE_10000026969 | Indian_spices/BayLeaf/BayLeaf290.jpg |  Download Image |
52K |
| PPE_10000026970 | Indian_spices/BayLeaf/BayLeaf291.jpg |  Download Image |
44K |
| PPE_10000026971 | Indian_spices/BayLeaf/BayLeaf292.jpg |  Download Image |
44K |
| PPE_10000026972 | Indian_spices/BayLeaf/BayLeaf293.jpg |  Download Image |
52K |
| PPE_10000026973 | Indian_spices/BayLeaf/BayLeaf294.jpg |  Download Image |
52K |
| PPE_10000026974 | Indian_spices/BayLeaf/BayLeaf295.jpg |  Download Image |
48K |
| PPE_10000026975 | Indian_spices/BayLeaf/BayLeaf296.jpg |  Download Image |
48K |
