domla2 Computer Vision Dataset
Versions
34 Total Images
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Dataset Split
Train Set 88%
30Images
Valid Set 9%
3Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels