Landmark Recognition Web-App using Streamlit
- Trained model
landmarks_classifier_asia_V1/1is taken from the Tensorflow-Hub
- There are total
98961classes supported, in which Asia’s most of the famous Landmark is covered.
- This model was trained on
Google Landmarks Dataset V2.
- Simple repsonsive UI.
- It will give you the full address of Landmark
- It will provide you the
Longitudeof predicted landmark.
- It will plot the predicted landmark on the Map.
Clone my repository.
Open CMD in working directory.
Run following command.
pip install -r requirements.txt
LM_Detection.pyis 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.