AIO - Week 4: Object Detection Project

This project demonstrates object detection using a pre-trained YOLOv10 model. The project utilizes Streamlit for the web interface and OpenCV for image processing.

Steps to Run the Project

1. Clone the repository:

   git clone https://github.com/TungTSon/AIO_Wk4_ObjectDetection.git
   cd AIO_Wk4_ObjectDetection

2. Install required dependencies:

pip install -r requirements.txt

3. Run the Streamlit application:

streamlit run app.py

4. Upload an image and see the detection results:

Upload an image using the provided file uploader. Adjust the confidence threshold slider to filter detections by confidence level. View the processed image with detected objects highlighted.