5 Key Optimization Strategies
Based on the existing technical architecture of ScoreFlow, the following dimensions are suggested to improve the recognition effect:
- Input quality::
- Sheet music using white background + black notes (contrast > 70%)
- Keep your cell phone parallel to the sheet music when shooting, a distance of 30-50cm is recommended.
- Recognition Accuracy Improvement in Uniform Lighting Environments 40%
- parameter optimization::
- Complex scores are prioritized for MusicXML output (retains more data)
- Turn on the "Advanced Symbol Recognition" option in Settings
- Subsequent amendments::
- Manual Verification with Muscore Free Edition
- Create customized substitution rules for specific symbols (e.g., triplets) that have repeated errors
DEVELOPER FEEDBACK: The upcoming v1.2 release will include a live preview of the fixes, allowing users to mark problem areas for re-recognition during the conversion process.
This answer comes from the articleScoreFlow: Music Learning Tool for Converting Scores to MIDI and MusicXMLThe
May not be reproduced without permission:AI productivity tools " How to improve the accuracy of AI sheet music recognition?
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