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

OUTPUT