Landmark Detection App

This Streamlit app utilizes a pre-trained TensorFlow Hub model for detecting landmarks in Asia. The model is trained on the Google-Landmarks-v1 dataset. You can find our deployment here

TensorFlow Hub Model

The landmark detection model is hosted on TensorFlow Hub. You can find the model here.

Folder Structure

In this project, the folder structure is organized as follows:

• Landmark-Recognition/: The root directory of the project.
  • main.py: The main Python script containing the Streamlit app code.
  • requirements.txt: File specifying the Python dependencies for the project.
  • README.md: This documentation file providing information about the project.
  • other_files_and_folders/: Additional files and folders related to the project can be placed here.

Feel free to customize the folder structure based on your project's needs.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/dhruvk2002/Landmark-Recognition.git
   

2. Navigate to the Project Directory

   cd Landmark_Recognition
   

3. Install Dependencies

   pip install -r requirements.txt
   

4. Run the streamlit app

   streamlit run main.py