gg Computer Vision Model
75 Total Images
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Dataset Split
Train Set 88%
66Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels