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Versions
2023-04-18 4:43am
v3
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2 years ago
2023-04-18 4:18am
v2
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2 years ago
2023-04-18 3:20am
v1
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2 years ago
v1

2023-04-18 3:20am

Generated on Apr 18, 2023
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2811 Total Images

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Dataset Split

Train Set 84%
2355Images
Valid Set 7%
205Images
Test Set 9%
251Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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