depolar1 Computer Vision Model
120 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Applied
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels
Camera Gain: Variance: 0.05