gd Computer Vision Model
14359 Total Images
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Dataset Split
Train Set 88%
12561Images
Valid Set 8%
1198Images
Test Set 4%
600Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 645x645
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 0.02% of pixels