segmentation Computer Vision Model
Versions
1104 Total Images
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Dataset Split
Train Set 96%
1056Images
Valid Set 4%
44Images
Test Set 0%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 384x384
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Applied
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied
Camera Gain: Variance: 0.05