ResNet Image Classification - Build and Deploy an Automated Inspection System

Learn to build and deploy an automated quality inspection system using ResNet image classification models in this comprehensive 27-minute tutorial. Discover how computer vision technology can automatically evaluate images and detect quality issues across various applications, from identifying missing straws on juice boxes to spotting tiny blemishes on ceramic products. Master the fundamentals of image classification models and understand why pass/fail inspection systems are essential for quality control. Explore ResNet architecture and its advantages for fast image classification tasks. Follow step-by-step instructions to train a custom ResNet model, test and evaluate its performance, and deploy the system into a production environment for real-world applications. Gain practical experience with model training workflows, performance evaluation techniques, and production deployment strategies. Understand hardware considerations for implementing automated inspection systems and learn best practices for maintaining model accuracy in industrial settings.