Dataset Versions

v1

tooth_detection

Generated on Sep 29, 2022

Dataset Split

Train Set 93%
1752Images
Valid Set %
0Images
Test Set 7%
129Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 448x448

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 50% of images
Hue: Between -59° and +59°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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