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Dry fruit image dataset for machine learning applications

Dry fruits are convenient and nutritious snacks that can provide numerous health benefits. They are packed with vitamins, minerals, and fibres, which can help improve overall health, lower cholesterol levels, and reduce the risk of heart disease. Due to their health benefits, dry fruits are an essen...

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Autores principales: Meshram, Vishal, Choudhary, Chetan, Kale, Atharva, Rajput, Jaideep, Meshram, Vidula, Dhumane, Amol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333426/
https://www.ncbi.nlm.nih.gov/pubmed/37441626
http://dx.doi.org/10.1016/j.dib.2023.109325
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author Meshram, Vishal
Choudhary, Chetan
Kale, Atharva
Rajput, Jaideep
Meshram, Vidula
Dhumane, Amol
author_facet Meshram, Vishal
Choudhary, Chetan
Kale, Atharva
Rajput, Jaideep
Meshram, Vidula
Dhumane, Amol
author_sort Meshram, Vishal
collection PubMed
description Dry fruits are convenient and nutritious snacks that can provide numerous health benefits. They are packed with vitamins, minerals, and fibres, which can help improve overall health, lower cholesterol levels, and reduce the risk of heart disease. Due to their health benefits, dry fruits are an essential part of a healthy diet. In addition to health advantage, dry fruits have high commercial worth. The value of the global dry fruit market is estimated to be USD 6.2 billion in 2021 and USD 7.7 billion by 2028. The appearance of dry fruits is utilized for assessing their quality to a great extent, requiring neat, appropriately tagged, and high-quality images. Hence, this dataset is a valuable resource for the classification and recognition of dry fruits. With over 11500+ high-quality processed images representing 12 distinct classes, this dataset is a comprehensive collection of different varieties of dry fruits. The four dry fruits included in this dataset are Almonds, Cashew Nuts, Raisins, and Dried Figs (Anjeer), along with three subtypes of each. This makes it a total of 12 distinct classes of dry fruits, each with its unique features, shape, and size. The dataset will be useful for building machine learning models that can classify and recognize different types of dry fruits under different conditions, and can also be beneficial for dry fruit research, education, and medicinal purposes. Due to their nutritional value and health advantages, dry fruits have been consumed for a very long time. One of the best strategies to improve general health is to include dry fruits in the diet.
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spelling pubmed-103334262023-07-12 Dry fruit image dataset for machine learning applications Meshram, Vishal Choudhary, Chetan Kale, Atharva Rajput, Jaideep Meshram, Vidula Dhumane, Amol Data Brief Data Article Dry fruits are convenient and nutritious snacks that can provide numerous health benefits. They are packed with vitamins, minerals, and fibres, which can help improve overall health, lower cholesterol levels, and reduce the risk of heart disease. Due to their health benefits, dry fruits are an essential part of a healthy diet. In addition to health advantage, dry fruits have high commercial worth. The value of the global dry fruit market is estimated to be USD 6.2 billion in 2021 and USD 7.7 billion by 2028. The appearance of dry fruits is utilized for assessing their quality to a great extent, requiring neat, appropriately tagged, and high-quality images. Hence, this dataset is a valuable resource for the classification and recognition of dry fruits. With over 11500+ high-quality processed images representing 12 distinct classes, this dataset is a comprehensive collection of different varieties of dry fruits. The four dry fruits included in this dataset are Almonds, Cashew Nuts, Raisins, and Dried Figs (Anjeer), along with three subtypes of each. This makes it a total of 12 distinct classes of dry fruits, each with its unique features, shape, and size. The dataset will be useful for building machine learning models that can classify and recognize different types of dry fruits under different conditions, and can also be beneficial for dry fruit research, education, and medicinal purposes. Due to their nutritional value and health advantages, dry fruits have been consumed for a very long time. One of the best strategies to improve general health is to include dry fruits in the diet. Elsevier 2023-06-18 /pmc/articles/PMC10333426/ /pubmed/37441626 http://dx.doi.org/10.1016/j.dib.2023.109325 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Meshram, Vishal
Choudhary, Chetan
Kale, Atharva
Rajput, Jaideep
Meshram, Vidula
Dhumane, Amol
Dry fruit image dataset for machine learning applications
title Dry fruit image dataset for machine learning applications
title_full Dry fruit image dataset for machine learning applications
title_fullStr Dry fruit image dataset for machine learning applications
title_full_unstemmed Dry fruit image dataset for machine learning applications
title_short Dry fruit image dataset for machine learning applications
title_sort dry fruit image dataset for machine learning applications
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333426/
https://www.ncbi.nlm.nih.gov/pubmed/37441626
http://dx.doi.org/10.1016/j.dib.2023.109325
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AT meshramvidula dryfruitimagedatasetformachinelearningapplications
AT dhumaneamol dryfruitimagedatasetformachinelearningapplications