YOLOv8 inference using Javascript

This is a web interface to YOLOv8 object detection neural network implemented that allows to run object detection right in a web browser without any backend using ONNX runtime.

This is a source code for a "How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust" tutorial.

Install

Clone this repository: git clone [email protected]:AndreyGermanov/yolov8_onnx_javascript.git

Run

You need to run index.html using any local webserver, for example internal webserver of Visual Studio Code. Ensure that the model file yolov8m.onnx exists in the same folder with index.html.

Using the interface in index.html you can upload the image to the object detector and see bounding boxes of all objects detected on it.