Landmark-Recognition-using-Deep-Neural-Networks

Landmark Recognition Web-App using Streamlit

Source

• Trained model landmarks_classifier_asia_V1/1 is taken from the Tensorflow-Hub
• There are total 98961 classes supported, in which Asia’s most of the famous Landmark is covered.
• This model was trained on Google Landmarks Dataset V2.

Features

• Simple repsonsive UI.
• It will give you the full address of Landmark
• It will provide you the Latitude & Longitude of predicted landmark.
• It will plot the predicted landmark on the Map.

Usage

• Clone my repository.
• Open CMD in working directory.

• Run following command.

  pip install -r requirements.txt
  

• LM_Detection.py is the main Python file of Streamlit Web-Application.

• To run app, write following command in CMD. or use any IDE.

  streamlit run LM_Detection.py
  

• For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.

Screenshots