MusicObjectDetection: 91,254 Annotated Symbols for Sheet Music

Delivering a baseline for general music object detection in the context of Optical Music Recognition (OMR), created by author apacha to accompany a specific journal publication. Updated in February 2026, it focuses on the identification and localization of musical symbols within sheet music images.

Use Cases

• Training deep learning models to detect musical objects like clefs and notes within sheet music images
• Benchmarking OMR algorithms against the baseline metrics established in the 'A Baseline for General Music Object Detection with Deep Learning' paper
• Evaluating symbol localization accuracy using bounding box coordinates provided in the annotation files

Strengths

• Associated with a peer-reviewed journal paper providing a formal baseline
• MIT licensed for open research and commercial use
• Includes evaluation scripts specifically for OMR benchmarking

Limitations

• Metadata lacks explicit record counts and file format specifications
• Requires external reference to the source paper for full schema and class definitions

Provenance

Source

Journal paper 'A Baseline for General Music Object Detection with Deep Learning'

Collection Method

Annotated musical scores

Freshness

Last updated February 2026.