Landmarks Recogntion Web application using Streamlit.

Last update: Dec 12, 2022

Related tags

Deep Learning LandMark_Detection

Overview

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

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Owner

Kushal Bhavsar

A programmer from 🇮🇳. Creating my own empire🕸️💰 just like Spider🕷️ Kaggle Expert https://www.kaggle.com/spidy20

Kushal Bhavsar

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