Learn to run YOLO object detection models directly in web browsers using ONNX Runtime Web and WebAssembly. The tutorial covers converting YOLOv8 models to ONNX format, implementing client-side preprocessing with OpenCV.js, handling Non-Max Suppression with separate ONNX models, and building a complete Next.js application. This approach eliminates server dependencies, ensures data privacy, reduces latency, and enables real-time inference entirely on the client side with performance around 220ms on modern hardware.
Table of contents
Run YOLO Model in the Browser with ONNX, WebAssembly, and Next.jsWhat Is Browser-Based Inference and Why Does It Matter?Why Run YOLO in the Browser?How Browser-Based Inference WorksConfiguring Your Development EnvironmentProject StructureExporting and Preparing Your YOLO ONNX ModelsImplementing the Inference Logic (utils.ts)Bringing It All Together with page.tsxBrowser Inference in Action: Demo + PerformanceSummarySort: