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google-lens_clone

VisionQuest - Landmark Image Classification Application

VisionQuest is an image classification application built using PyQt5 and TensorFlow that allows users to upload images and predict the landmark present in the image using a pre-trained deep learning model. The application is specifically designed to classify Asian landmarks.

Features

  • User-friendly graphical interface for easy interaction.
  • Image upload and processing for landmark prediction.
  • Display of predicted landmark name on the uploaded image.
  • Bounding box overlay on the image for visualization.
  • Utilizes a pre-trained TensorFlow model for accurate landmark classification.

Getting Started

Prerequisites

  • Python 3.x
  • PyQt5
  • TensorFlow
  • TensorFlow Hub
  • OpenCV
  • pandas

Build the ui in Qt Designer

Commmand to convert the ui file to py file

  • pyuic5 -x -o lens.py googleui.ui

UI

image

OUTPUT

image