Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Review of Flower Image Classification

Author(s) Sachin Dhasal, Surya Gokal, Avani Kanal
Country India
Abstract Flower image classification poses a challenging task in computer vision due to the diverse varieties of flowers and their intricate visual characteristics. Convolutional neural networks (cnns) have emerged as powerful tools in recent years for addressing this challenge. Additionally, deep learning techniques have proven valuable in this context. This paper aims to provide an overview of various strategies and methodologies currently employed for categorizing floral images using deep learning approaches
Keywords Image classification, Deep learning, Flower classification, Transfer learning, Neural network
Field Engineering
Published In Volume 2, Issue 4, July-August 2021
Published On 2021-08-14
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E-ISSN 3048-7641
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