Research on an Improved YOLOv5 Algorithm for Detecting Small Parts of Building Blocks
Targeting at the problems of various kinds of building block parts and low manual sorting efficiency,a small part of building block detection algorithm based on improved YOLOv5 is proposed.The algorithm uses double-layer Mosaic-16 for data enhancement and RGB matrix for contrast adjustment.Through the optimization of the dataset,the YOLOv5 algorithm is improved.The experimental re-sults show that the improved YOLOv5 algorithm can quickly and accurately identify and classify small building block parts.Compared with the original YOLOv5 algorithm,the training speed and accuracy of the model are greatly improved.
YOLOv5inspection of small building block partsMosaic-16 enhancements