class Computer Vision Dataset
12 Total Images
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Dataset Split
Train Set 100%
12Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±14° Horizontal, ±11° Vertical
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -29% and +29%
Brightness: Between -21% and +21%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.53% of pixels