A CNN-Based Framework for Detection and Recognition of Objects Using Transfer Learning: A Case Study on Flower Recognition-Reference-Cited by-同舟云学术

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A CNN-Based Framework for Detection and Recognition of Objects Using Transfer Learning: A Case Study on Flower Recognition

Published:2023-11-27 Issue: Volume:17 Page:1-6
ISSN:
Container-title:2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI)
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Author:

Tiwari Shivam¹,Sharma Vikrant²,Rathore Yogesh Singh³,Gandhi Parul⁴,Srivastava Durgesh⁵

Affiliation:

1. Sharda University,Department of Computer Science & Engineering,Greater Noida

2. Graphic Era Hill University,Computer Science and Engineering,Dehradun,UK

3. Sharda University,Computer Science and Application,Greater Noida,UP

4. Manav Rachna International Institute of Research and Studies,Department of Computer Applications,Faridabad,Haryana

5. Chitkara University, Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406296/10406315/10406464.pdf?arnumber=10406464

Reference28 articles.

1. Automated Flower species identification by using CNN;Bondre;IJCSNS International Journal of Computer Science and Network Security,2022

2. Flower Recognition using deep convolution neural network;Malik;international journal of scientific & technology research,2021

3. Flower Species Recognition System;Nyar,2020

4. Automated Flower Species Detection and Recognition from Digital Images;Albadarneh;IJCSNS International Journal of Computer Science and Network Security,2017

5. A Flower Recognition System Based On Image Processing And Neural Networks;Almogdady;International journal of scientific & technology research,2018

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