Tomato's Clasification Computer Vision Model
142 Total Images
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Dataset Split
Train Set 87%
123Images
Valid Set 10%
15Images
Test Set 3%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 14% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -0° and +0°
Shear: ±0° Horizontal, ±0° Vertical
Grayscale: Apply to 11% of images
Hue: Between -8° and +8°
Saturation: Between -22% and +22%
Brightness: Between -15% and +15%
Exposure: Between -6% and +6%
Blur: Up to 1.7px
Noise: Up to 0.5% of pixels