Symbolic semantic understanding of staff images is an important technological support to achieve "intelligent score flipping". Due to the complex composition of staff symbols and the strong semantic correlation between symbol spaces, it is difficult to understand the pitch and duration of each note when the staff is performed. In this paper, we design a semantic understanding system for optical staff symbols. The system uses the YOLOv5 to implement the optical staff's low-level semantic understanding stage, which understands the pitch and duration in natural scales and other symbols that affec...
