An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network
Classifying flowers is a difficult activity because of the wide variety of flower species that have similar form. In this paper, a deep learning model for extracting features and classifying different flower types or species developed by using a popular method called Convolutional Neural Network (CN...
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Language: | English |
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University of Zakho
2020-09-01
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Series: | Science Journal of University of Zakho |
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Online Access: | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/747 |
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author | Saman M. Omer Rayan M. Hasan Banaz N. Anwer |
author_facet | Saman M. Omer Rayan M. Hasan Banaz N. Anwer |
author_sort | Saman M. Omer |
collection | DOAJ |
description | Classifying flowers is a difficult activity because of the wide variety of flower species that have similar form. In this paper, a deep learning model for extracting features and classifying different flower types or species developed by using a popular method called Convolutional Neural Network (CNN). The identification system has been evaluated on a new dataset that has been designed in this work that collected flowers from Kurdistan. The dataset contains 1300 images of different flowers, 1040 images (%80) of which used for training purpose and 260 (%20) images used for test purpose, categorized into 26 classes. In addition, Various number of layers, activation function and pooling schemes were implemented to improve the classification rates. The recognition rate of proposed CNN model is 94.61%. |
first_indexed | 2024-12-19T02:41:25Z |
format | Article |
id | doaj.art-9f377b9946ec46cd920bd1ce9d6af67f |
institution | Directory Open Access Journal |
issn | 2663-628X 2663-6298 |
language | English |
last_indexed | 2024-12-19T02:41:25Z |
publishDate | 2020-09-01 |
publisher | University of Zakho |
record_format | Article |
series | Science Journal of University of Zakho |
spelling | doaj.art-9f377b9946ec46cd920bd1ce9d6af67f2022-12-21T20:39:07ZengUniversity of ZakhoScience Journal of University of Zakho2663-628X2663-62982020-09-018310.25271/sjuoz.2020.8.3.747An Image Dataset Construction for Flower Recognition Using Convolutional Neural NetworkSaman M. Omer0Rayan M. Hasan1Banaz N. Anwer2Dept. of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan Region – F.R.Dept. of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan Region – F.R.Dept. of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan Region – F.R.Classifying flowers is a difficult activity because of the wide variety of flower species that have similar form. In this paper, a deep learning model for extracting features and classifying different flower types or species developed by using a popular method called Convolutional Neural Network (CNN). The identification system has been evaluated on a new dataset that has been designed in this work that collected flowers from Kurdistan. The dataset contains 1300 images of different flowers, 1040 images (%80) of which used for training purpose and 260 (%20) images used for test purpose, categorized into 26 classes. In addition, Various number of layers, activation function and pooling schemes were implemented to improve the classification rates. The recognition rate of proposed CNN model is 94.61%.https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/747Plant Flower RecognitionFlower RecognitionFlower Identification SystemFlower ClassificationConvolutional Neural NetworkDeep Learning |
spellingShingle | Saman M. Omer Rayan M. Hasan Banaz N. Anwer An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network Science Journal of University of Zakho Plant Flower Recognition Flower Recognition Flower Identification System Flower Classification Convolutional Neural Network Deep Learning |
title | An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network |
title_full | An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network |
title_fullStr | An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network |
title_full_unstemmed | An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network |
title_short | An Image Dataset Construction for Flower Recognition Using Convolutional Neural Network |
title_sort | image dataset construction for flower recognition using convolutional neural network |
topic | Plant Flower Recognition Flower Recognition Flower Identification System Flower Classification Convolutional Neural Network Deep Learning |
url | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/747 |
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