My First Project Computer Vision Model
27 Total Images
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Dataset Split
Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images
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: 8% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±11° Horizontal, ±10° Vertical
Grayscale: Apply to 16% of images
Hue: Between -23° and +23°
Saturation: Between -27% and +27%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels