Microfluidics Computer Vision Model
95 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 9%
8Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 64% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 5% of pixels