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Title: :  Flower Image Detection
PaperId: :  16409
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16409
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vishwajeet Kumar SinghInstitute of Technology and Management
Tanmay SinghInstitute of Technology and Management
Deepak Kumar TiwaryInstitute of Technology and Management
Archana Institute of Technology and Management

Abstract

Information Technology
Machine Learning ,Python, Numpy, CNN, Tensorflow.
Image processing is an important part of removing features from photos. However, image processing and image interpreting process in the distribution of low-level statistical statistics is a challenging task. These processes are complex as the captured image contains a lot of noise, and the target objects are touched by light, light. In the case of flower classification, photo editing or pre-processing is an important part of the automatic flower photo recognition system. The classification of a flower image depends on low-level elements, for example, colour and texture, in order to define and define the content of the image. In this project, a Convolution Neural Network (CNN)-based approach was proposed in which the pre-trained VGG-16 model was used to extract features from flower images and before the model was trained, further analysis was performed to remove the noise. , improve brightness and improve image quality using the Digital Image Processing (DIP) algorithm. The model is trained with about 2000 images in three classes, and the classification is done by FC, SVM, Naive Bayes classifier and DT; high accuracy achieved with FC layer and SVM 91.56% and 91.36%.

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IJARIIE Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . "Flower Image Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 1565-1568
MLA Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . "Flower Image Detection." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 1565-1568.
APA Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, & Archana . (2022). Flower Image Detection. International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 1565-1568.
Chicago Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . "Flower Image Detection." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 1565-1568.
Oxford Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . 'Flower Image Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 1565-1568. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Flower_Image_Detection_ijariie16409.pdf (Accessed : ).
Harvard Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . (2022) 'Flower Image Detection', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 1565-1568IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Flower_Image_Detection_ijariie16409.pdf (Accessed : )
IEEE Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana , "Flower Image Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 1565-1568, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Flower_Image_Detection_ijariie16409.pdf [Accessed : ].
Turabian Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . "Flower Image Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 ().
Vancouver Vishwajeet Kumar Singh, Tanmay Singh, Deepak Kumar Tiwary, and Archana . Flower Image Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(2) : 1565-1568. Available from: https://ijariie.com/AdminUploadPdf/Flower_Image_Detection_ijariie16409.pdf
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