Purpose: Address the challenge of sight-reading music by developing a computer vision system.

Scope: Focus on a specific range of musical elements, excluding more complex features for manageable development.

Technology: Utilized the YOLO algorithm for real-time object (note) detection.

Data Collection and Training:

1. Started with training on cropped images of single notes.

2. Progressed to using images of different sizes of sheet music.

3. Employed Makesense.ai for training data preparation.