saddle classifier Computer Vision Model
230 Total Images
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Dataset Split
Train Set 89%
204Images
Valid Set 8%
19Images
Test Set 3%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±12° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels