frillice-detection Computer Vision Model
435 Total Images
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Dataset Split
Train Set 88%
381Images
Valid Set 8%
36Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -32° and +32°
Shear: ±15° Horizontal, ±23° Vertical
Bounding Box: Blur: Up to 2px