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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Main Authors: Saman M. Omer, Rayan M. Hasan, Banaz N. Anwer
Format: Article
Language:English
Published: University of Zakho 2020-09-01
Series:Science Journal of University of Zakho
Subjects:
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%.
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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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AT rayanmhasan imagedatasetconstructionforflowerrecognitionusingconvolutionalneuralnetwork
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