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2024-04-25 9:05pm
v1
·
7 months ago
v1

2024-04-25 9:05pm

Generated on Apr 25, 2024
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832 Total Images

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Dataset Split

Train Set 92%
768Images
Valid Set 4%
32Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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