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Versions
2023-05-25 2:57pm
v6
·
a year ago
2023-05-24 8:33pm
v5
·
2 years ago
2023-05-19 11:22am
v4
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2 years ago
2023-05-18 12:58am
v3
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2 years ago
2023-05-17 7:51pm
v2
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2 years ago
2023-05-17 4:35pm
v1
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2 years ago
v6

2023-05-25 2:57pm

Generated on May 25, 2023
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878 Total Images

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Dataset Split

Train Set 87%
765Images
Valid Set 8%
72Images
Test Set 5%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
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 -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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