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2024-02-21 9:33am
v20
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10 months ago
2024-02-21 9:32am
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2024-02-21 9:31am
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2024-02-21 9:31am
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2024-02-21 9:30am
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2024-02-21 9:29am
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2024-02-21 9:29am
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2024-02-13 5:20pm
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10 months ago
2024-02-07 6:12pm
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2024-02-07 6:10pm
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2024-02-07 6:04pm
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2024-02-06 3:14pm
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2024-02-06 3:11pm
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2024-02-06 3:10pm
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a year ago
2024-01-29 8:15pm
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v20

2024-02-21 9:33am

Generated on Feb 21, 2024
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717 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 87%
627Images
Valid Set 10%
69Images
Test Set 3%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±13° Horizontal, ±10° Vertical
Grayscale: Apply to 23% of images
Hue: Between -25° and +25°
Saturation: Between -28% and +28%
Brightness: Between -22% and +22%
Exposure: Between -13% and +13%
Blur: Up to 1.3px
Noise: Up to 1.45% of pixels
Bounding Box: Brightness: Between -12% and +12%
Bounding Box: Exposure: Between -12% and +12%

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