Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications
Dataset - an essential aspect and the requirement for any of the machine learning project. Collection / creation of dataset in the agriculture domain is highly challenging task because the domain itself is uncertain. Main objective of the present paper is to create an image dataset of pomegranate fr...
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doaj-58677c7eda7e4d0b9e8a9bde5f9e71002021-08-26T04:35:06ZengElsevierData in Brief2352-34092021-08-0137107249Image dataset of pomegranate fruits (Punica granatum) for various machine vision applicationsArun Kumar R0Vijay S Rajpurohit1Nilesh N Gaikwad2Tontadarya College of Engineering, Gadag, Affiliated to Visvesvaraya Technological University, Belagavi, India; Corresponding author.KLS Gogte Institute of Technology, Belagavi, Affiliated to Visvesvaraya Technological University, Belagavi, IndiaICAR-National Research Center on Pomegranate, Solapur, IndiaDataset - an essential aspect and the requirement for any of the machine learning project. Collection / creation of dataset in the agriculture domain is highly challenging task because the domain itself is uncertain. Main objective of the present paper is to create an image dataset of pomegranate fruits of different grades. Accordingly, we have considered ‘Ruby’ cultivar of pomegranate and sincerely constructed the dataset. Fruits belonging to three grades are considered. The images for each fruit are covered from all the three angles. The dataset created also contains the weights of the fruits. The dataset consists of 12 folders named after their effective quality grades. The usage of this dataset is already proved in the works carried out by the authors in their previous studies. This dataset is highly helpful for the data science engineer / machine learning programmer or machine learning expert working in the field of precision agriculture.http://www.sciencedirect.com/science/article/pii/S2352340921005333PomegranateImage datasetPomegranate fruit databaseImage database of pomegranates |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arun Kumar R Vijay S Rajpurohit Nilesh N Gaikwad |
spellingShingle |
Arun Kumar R Vijay S Rajpurohit Nilesh N Gaikwad Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications Data in Brief Pomegranate Image dataset Pomegranate fruit database Image database of pomegranates |
author_facet |
Arun Kumar R Vijay S Rajpurohit Nilesh N Gaikwad |
author_sort |
Arun Kumar R |
title |
Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications |
title_short |
Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications |
title_full |
Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications |
title_fullStr |
Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications |
title_full_unstemmed |
Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications |
title_sort |
image dataset of pomegranate fruits (punica granatum) for various machine vision applications |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2021-08-01 |
description |
Dataset - an essential aspect and the requirement for any of the machine learning project. Collection / creation of dataset in the agriculture domain is highly challenging task because the domain itself is uncertain. Main objective of the present paper is to create an image dataset of pomegranate fruits of different grades. Accordingly, we have considered ‘Ruby’ cultivar of pomegranate and sincerely constructed the dataset. Fruits belonging to three grades are considered. The images for each fruit are covered from all the three angles. The dataset created also contains the weights of the fruits. The dataset consists of 12 folders named after their effective quality grades. The usage of this dataset is already proved in the works carried out by the authors in their previous studies. This dataset is highly helpful for the data science engineer / machine learning programmer or machine learning expert working in the field of precision agriculture. |
topic |
Pomegranate Image dataset Pomegranate fruit database Image database of pomegranates |
url |
http://www.sciencedirect.com/science/article/pii/S2352340921005333 |
work_keys_str_mv |
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