IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: June 2024

Volume 9 | Issue 6

Impact factor: 8.15

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Paper Title: Flower Image Classification: A Review
Authors Name: Sakshi Dixit , Arun Jhapate , Dr. Ritu Shrivastava
Unique Id: IJSDR2405012
Published In: Volume 9 Issue 5, May-2024
Abstract: The categorization of flower images is a difficult subject in computer vision since there are so many different types of flowers and the visual qualities of flowers are so much more complicated than other things. Convolutional neural networks (CNNs), in particular, have developed as effective tools for handling this job in recent years. Deep learning methods have also emerged as useful tools. The purpose of this paper is to offer an overview of several strategies and methodologies that are currently being used in floral picture categorization via the use of deep learning.
Keywords: Image classification, Deep learning, Flower classification, Transfer learning, Neural network.
Cite Article: "Flower Image Classification: A Review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 5, page no.94 - 97, May-2024, Available :http://www.ijsdr.org/papers/IJSDR2405012.pdf
Downloads: 000342048
Publication Details: Published Paper ID: IJSDR2405012
Registration ID:211072
Published In: Volume 9 Issue 5, May-2024
DOI (Digital Object Identifier):
Page No: 94 - 97
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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