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Object Detection Application

This application utilizes a pre-trained MobileNet SSD model to perform object detection on images. It is built with Python, using OpenCV for image processing and Streamlit for the web interface.

Features

  • Upload and display images (JPG, PNG, JPEG formats supported).
  • Perform object detection on the uploaded images.
  • Display the processed image with detected objects highlighted.

Installation

To run this application, you need to have Python installed on your system. Follow these steps to set up and run the application:

  1. Clone this repository to your local machine.
  2. Navigate to the cloned directory.
  3. Install the required Python packages
  4. Run the application:
streamlit run object_detection.py

Usage After starting the application, open your web browser and go to the URL provided by Streamlit (usually http://localhost:8501). Follow these steps to use the application:

Use the "Upload Image" button to upload an image file. Wait for the application to process the image and perform object detection. View the uploaded image and the processed image with detected objects highlighted.