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2024-02-18 11:07pm
v8
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9 months ago
2024-01-31 9:26pm
v7
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10 months ago
2024-01-30 7:55pm
v6
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10 months ago
2024-01-30 7:47pm
v5
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10 months ago
2024-01-23 10:24pm
v4
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10 months ago
2024-01-23 7:27pm
v3
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10 months ago
2024-01-23 11:53am
v2
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10 months ago
2024-01-20 7:32am
v1
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10 months ago
v3

2024-01-23 7:27pm

Generated on Jan 23, 2024
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6673 Total Images

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Dataset Split

Train Set 86%
5748Images
Valid Set 9%
610Images
Test Set 5%
315Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

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

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