Dataset Versions
Versions
v1
2023-07-12 11:36pm
Generated on Jul 12, 2023
14 Total Images
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Dataset Split
Train Set 86%
12Images
Valid Set 7%
1Images
Test Set 7%
1Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 25% of images
Hue: Between -44° and +44°
Saturation: Between -31% and +31%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 3px
Noise: Up to 1% of pixels
Mosaic: Applied