mariam-diab/Automated-Detection-of-Defects-on-Metal-Surfaces-using-Deep-Learning-Techniques-and-Vision-Transform

The project focuses on utilizing deep learning and transformers to detect defects in metals. Tensorflow has been employed to design the model architecture. Among the various approaches explored, the Inception model, a custom CNN model, and the VIT feature extractor have yielded the most promising results.

Jupyter Notebook