Dataset Versions
v1
2024-11-27 1:19am
Generated on Nov 27, 2024
68 Total Images
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Dataset Split
Train Set 84%
57Images
Valid Set 9%
6Images
Test Set 7%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-92% Horizontal Region, 28-67% Vertical Region
Resize: Fit (reflect edges) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels