Abstract: Traditional vision methods for solar cell defect detection have problems such as low accuracy and few types of detection, so this paper proposes an optimized YOLOv5 model for more accurate ...
Abstract: A lightweight rotational object detection algorithm, R-YOLOv5, is proposed to address the limitations of traditional object detection algorithms that do not consider the diversity of vehicle ...
Should you find this repository as a useful tool for research or application, please kindly cite the original article Optimized and autonomous machine learning framework for characterizing pores, ...
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