Welcome to the Object Detection Streamlit project. This project uses Streamlit, a powerful framework for building machine learning and data science web apps, to create a user-friendly interface for object detection.
The project contains the following main files:
- object_detection.py: This is the main Python script that powers the application. It contains the code for the Streamlit interface and the object detection logic.
- requirements.txt: This file lists the Python dependencies that you need to run the application.
This project offers the following features:
- Real-time object detection: The application uses state-of-the-art object detection models to identify and label objects in images.
- User-friendly interface: Thanks to Streamlit, the application features an intuitive, easy-to-use interface. You can upload an image, perform object detection, and see the results, all from the same interface.
You can see a live demo of the project in action here: object-detection-yolo.streamlit.app
Please note that this project is actively under development, and future improvements are expected. We encourage you to check this repository regularly to stay updated with the latest changes.
Contributions to this project are welcome. If you have improvement suggestions or if you want to contribute, feel free to open an issue or a pull request.