Object Detection Streamlit

What is Object Detection Streamlit ?

Object Detection Streamlit is a Streamlit-based application designed to detect objects within images, videos, or live webcam feeds. It leverages AI technology to identify and track objects in real-time, making it a powerful tool for various applications such as surveillance, monitoring, or even creative projects.

Features

• Multi-input support: Detect objects in images, videos, or live webcam feeds.
• Real-time detection: Process and analyze video streams frame by frame for immediate results.
• Customizable models: Utilize pre-trained AI models or integrate your own for specific use cases.
• User-friendly interface: Streamlit's intuitive platform makes it easy to interact with the application.

How to use Object Detection Streamlit ?

1. Install Required Libraries: Ensure you have Streamlit and necessary AI libraries installed.
2. Clone or Access the Code: Obtain the application code from its repository.
3. Run the Application: Use the command streamlit run your_app.py to launch the app.
4. Select Input Source: Choose between uploading an image/video or using the webcam.
5. Start Detection: Click the "Start Detection" button to begin object tracking.

Frequently Asked Questions

What devices does Object Detection Streamlit support?
Object Detection Streamlit works on any device with a compatible webcam and internet connection, including laptops, desktops, and mobile devices.

Can I use Object Detection Streamlit offline?
Yes, the application can function offline once the necessary models and dependencies are downloaded.

What formats does it support for input?
It supports common image formats like JPG, PNG, and video formats such as MP4 or MOV.