misirdata Computer Vision Model
Versions
149 Total Images
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Dataset Split
Train Set 90%
134Images
Valid Set 7%
10Images
Test Set 3%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels