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2023-07-19 12:03pm
v15
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a year ago
2023-07-19 11:39am
v14
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a year ago
2023-07-19 10:29am
v7
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a year ago
2023-07-12 11:20am
v6
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a year ago
2023-07-12 10:20am
v5
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a year ago
2023-07-11 12:02pm
v4
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a year ago
2023-07-11 11:28am
v3
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a year ago
2023-07-11 11:26am
v2
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a year ago
2023-07-10 8:27pm
v1
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a year ago
v5

2023-07-12 10:20am

Generated on Jul 12, 2023
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512 Total Images

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Dataset Split

Train Set 88%
450Images
Valid Set 8%
42Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: 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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°

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