Ground Truth Status Tracking #6
kyrieb-ekat
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Alright I got morbidly curious and screenshotted a page from the internet archive of a copy of the LU and tested v1 mothra (models/v1/yolov8m_17images_7568boxes.pt; never seen print before) on a print page and if you don't count stafflines it did great. Counting stafflines... uhhh.... we still have some work to do clearly. Putting this here as a project tracking/note. @CThierrin any specific samples you can pull from for stafflines to add for re/training will be a huge help.
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DATASET GROUND TRUTH STATISTICS
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as of 19 March 2026
Images: 17
YOLO .txt files: 17
Total annotations: 6723
Per-class breakdown:
Text (0): 1733 ( 25.8%)
Music (1): 4177 ( 62.1%)
Staves (2): 813 ( 12.1%)
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Hufnagel
Antiphonal_12v_hfngl.jpg
Antiphonal_1v_hfngl.jpg
Antiphonal_44v_hfngl.jpg
NZ-Wt MSR-03 013r.png
NZ-Wt MSR-03 065r.png
NZ-Wt MSR-03 109v.png
Square/quadratic
CH-Fco2_009v_sqr.jpg.jpg
CH-Fco Ms. 2_006r copy.jpg
CH-Fco Ms.2 108v.jpg
CH-Fco2_002v_sqr.jpg
F-Pn Latin 15181 169v bigger.png
Gothic
D1161_210546_gthc.jpg
D1161_210404_gthc.jpg
D-KNd 1161 032r.jpg
Messine
CH-P 18 p.100.jpg
CH-P18_061_mssn.jpg.jpg
CH-P18_288_mssn.jpg
Performance w/ my small terrible proofofconcept script+model
Performance: Text mAP@50 = 0.77, Music mAP@50 = 0.67, Staves mAP@50 = 0.02
To see predictions on unrelated manuscripts and unseen neume script styles (adiastematic!), look here.
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