https://github.com/amnydv17/landmark-detection

This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.
https://github.com/amnydv17/landmark-detection

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow

Last synced: about 1 month ago
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This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.

• Host: GitHub
• URL: https://github.com/amnydv17/landmark-detection
• Owner: amnydv17
• Created: 2023-06-15T09:33:37.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-29T18:05:35.000Z (over 2 years ago)
• Last Synced: 2025-01-03T07:11:13.214Z (about 1 year ago)
• Topics: machine-learning, matplotlib, numpy, pandas, python3, scikit-learn, seaborn, tensorflow
• Language: Python
• Homepage:
• Size: 2.12 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Landmark Recognition Web-App using Streamlit

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 

[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Source

- Trained model [`landmarks_classifier_asia_V1/1`](https://tfhub.dev/google/on_device_vision/classifier/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`](https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html). 

## 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