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2024-01-08 7:52pm
v4
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a year ago
2023-12-29 7:23pm
v3
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a year ago
2023-12-29 7:23pm
v2
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a year ago
2023-12-29 5:42pm
v1
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a year ago
v3

2023-12-29 7:23pm

Generated on Dec 29, 2023
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Dataset Split

Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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