Object Scope — Browser-Based Real-Time Object Detection with TensorFlow.js

Hello TensorFlow.js community,

I would like to share Object Scope, a browser-based computer vision project built with TensorFlow.js and COCO-SSD.

Live Demo: https://objectscope-research.web.app/ Source Code: https://github.com/fouad-salehi/objectScope

What is Object Scope?

Object Scope demonstrates real-time and image-based object detection directly in the web browser, without requiring a dedicated backend for inference.

It currently provides two main modes:

Image Detection — Upload an image and detect objects. Camera Detection — Use a live camera stream for real-time object detection.

The application displays detected objects with bounding boxes and confidence scores.

Technology TensorFlow.js COCO-SSD JavaScript HTML5 / CSS3 Firebase Hosting Why I'm sharing it

The goal of this project is to explore the practical use of TensorFlow.js for computer vision applications running entirely in the browser.

I would appreciate feedback from the TensorFlow.js community regarding:

Real-time detection performance Browser compatibility Model loading and inference performance Potential improvements to the TensorFlow.js implementation Suggestions for future development

If you have a few minutes, you can try the live demo directly in your browser and share your feedback.

Thank you to the TensorFlow.js team and community for the tools that made this project possible.