Cabai Detector Computer Vision Model
Versions
330 Total Images
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Dataset Split
Train Set 87%
288Images
Valid Set 8%
27Images
Test Set 5%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.28% of pixels