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FAKE LOGO DETECTION

Client: Suprith, BIHE, Davangere

Duration: Nov 22 – Jan 23

Description

This Deep Learning project focuses on identifying logos from 10 different brands and classifying them as either fake or real. The project utilizes a Convolutional Neural Network (CNN) for training the model. Additionally, a user interface is developed using the Flask framework, providing users with the ability to interact with the detection system.

Technologies

  • Convolutional Neural Network (CNN)
  • Flask
  • Bootstrap
  • jQuery

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