dental Dataset

v7

2023-09-27 3:18pm

Generated on Sep 27, 2023

200 Total Images

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Dataset Split

Train Set 86%
171Images
Valid Set 14%
29Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between 0% and +91%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Bounding Box: 90° Rotate: Clockwise
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between 0% and +91%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 50% of pixels

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