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Floral Classification Report2 by monikacr396 is a document available to read on EtoBox.

The document outlines a project focused on developing an automated floral classification and recognition system using machine learning techniques, particularly convolutional neural networks (CNNs) and transfer learning. The system aims to accurately identify five flower species from images, addressing challenges in manual identification and enhancing efficiency for users such as researchers and gardeners. The project encompasses a comprehensive methodology from dataset creation to real-time user interface d

Author
monikacr396
Language
EN