For this project, we explored three different deep learning architectures: ResNet, VGG, and Inception, as the backbone for our crack detection models. ResNet: Residual Network (ResNet) is a deep ...

This project focuses on developing a deep learning ... "crack" or "no crack." Early Stopping: Stops training if validation loss does not improve for 3 consecutive epochs, ensuring optimal model ...

Abstract: In the food industry, egg crack prediction is crucial for ensuring the quality ... These processed images were then fed into various deep learning models, including CNN, ResNet, and Xception ...