Building a Two-Stage ML Pipeline on iOS — Real-Time Detection Meets Tap-to-Classify

1. 1Build a single camera view using SwiftUI
2. 2Integrate YOLOv8 for real-time object detection
3. 3Implement ResNet18 for tap-to-classify functionality
4. 4Debug SwiftUI gesture failures at 90fps
5. 5Configure the ML pipeline for optimal performance

This tutorial is beneficial for mobile app developers and machine learning engineers working on iOS applications, especially those interested in computer vision and real-time object detection.

💡 Combining YOLOv8 and ResNet18 enables real-time object detection and classification in a single iOS camera view

Build a 2-stage ML pipeline on iOS with YOLOv8 & ResNet18 for real-time detection & tap-to-classify #MachineLearning #iOS