{"id":23862405,"url":"https://github.com/amnydv17/landmark-detection","last_synced_at":"2026-04-11T13:04:52.119Z","repository":{"id":184698124,"uuid":"654050835","full_name":"amnydv17/Landmark-Detection","owner":"amnydv17","description":"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 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Landmark Recognition Web-App using Streamlit\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 \n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   \n\n\n## Source\n- 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\n- There are total `98961` classes supported, in which Asia's most of the famous Landmark is covered.\n- This model was trained on [`Google Landmarks Dataset V2`](https://ai.googleblog.com/2019/05/announcing-google-landmarks-v2-improved.html). \n\n## Features\n- Simple repsonsive UI.\n- It will give you the full address of Landmark\n- It will provide you the `Latitude` \u0026 `Longitude` of predicted landmark.\n- It will plot the predicted landmark on the Map.\n\n## Usage\n\n- Clone my repository.\n- Open CMD in working directory.\n- Run following command.\n\n  ```\n  pip install -r requirements.txt\n  ```\n- `LM_Detection.py` is the main Python file of Streamlit Web-Application. \n- To run app, write following command in CMD. or use any IDE.\n\n  ```\n  streamlit run LM_Detection.py\n  ```\n\n- For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.\n\n## Screenshots\n\n\u003cimg src=\"https://github.com/Spidy20/LandMark_Detection/blob/master/s1.PNG\"\u003e\n\u003cimg src=\"https://github.com/Spidy20/LandMark_Detection/blob/master/s2.PNG\"\u003e\n\n\n## Just follow☝️ me and Star⭐ my repository \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famnydv17%2Flandmark-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famnydv17%2Flandmark-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famnydv17%2Flandmark-detection/lists"}