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Building a Real-Time Object Detection Web App with TensorFlow.js and p5.js
- Filtering Detections: Display only specific classes (e.g., only people or vehicles).
- Custom UI Elements: Use p5.js to add buttons or controls that modify detection settings in real time.
- Performance Optimization: Experiment with frame rate adjustments or model parameters for faster detection.
Congratulations! You’ve built a real-time object detection web application using TensorFlow.js and p5.js. This project demonstrates how to integrate machine learning models into a browser-based environment and interact with live video feeds. With further experimentation, you can adapt this tutorial to a variety of creative projects, from interactive art installations to practical surveillance tools.