A high-precision (92.3%!) small yolov8 model trained to detect all kinds of worn rings.
If you want a global jewelry detection model, check this out!
📊 Performance Metrics:
Precision (B): 0.923
Recall (B): 0.911
mAP@50: 0.948
mAP@50-95: 0.661
ℹ️ Usage:
Recommend using a bbox threshold of 0.50 - 0.60.
❌ Limitations:
Bracelets and watches tend to cause false positives
Eyes can cause false positives (rare)
It works with anime style but with less confidence.