Utilizing advanced deep learning models such as YOLO v3 and v5, this project focuses on detecting anomalies in microwave images of pill blisters. Leveraging cutting-edge technology, we aim to enhance anomaly detection accuracy and efficiency, contributing to improved quality control processes in pharmaceutical manufacturing.
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