Landmark Recognition Web-App using Streamlit

Watch Tutorial for this project

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

Just follow☝️ me and Star⭐ my repository

Buy me a Coffee☕

Donate me on PayPal(It will inspire me to do more projects)