lauk Dataset

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Generated on Aug 6, 2024
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350 Total Images

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Dataset Split

Train Set %
0Images
Valid Set 51%
180Images
Test Set 49%
170Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-100% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -25° and +25°
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

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