The scope of this project is to develop a PBC defect inspection model using an object detector network. The Pretrained Yolo-Nas Large Model has been used as the baseline model. The dataset collected from Google Cloud Skill Boost course titled Create a Component Anomaly Detection Model using Visual Inspection AI consists to PBC images with proper and defective resistors. The final product will be to leverage a webapp for PBC inspection with statistical result. More details on the project on my github .