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2024-08-27 8:54pm
v1
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2 months ago
v1

2024-08-27 8:54pm

Generated on Aug 27, 2024
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6488 Total Images

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Dataset Split

Train Set 92%
5988Images
Valid Set 4%
250Images
Test Set 4%
250Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels

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