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2024-09-19 10:52pm
v12
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2 months ago
2024-09-19 6:04pm
v11
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2 months ago
2024-09-19 3:40pm
v10
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2 months ago
2024-09-19 3:39pm
v9
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2 months ago
no grayscale
v8
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2 months ago
2024-09-18 5:08pm
v7
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2 months ago
2024-09-18 12:31am
v5
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2 months ago
2024-09-15 6:38am
v4
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2 months ago
2024-09-08 6:29am
v3
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2 months ago
2024-08-31 10:11am
v2
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3 months ago
v9

2024-09-19 3:39pm

Generated on Sep 19, 2024
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4404 Total Images

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Dataset Split

Train Set 92%
4068Images
Valid Set 4%
173Images
Test Set 4%
163Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each

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