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2023-11-24 7:47pm
v4
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a year ago
2023-11-24 7:37pm
v3
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a year ago
2023-11-24 7:31pm
v2
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a year ago
2023-11-24 7:19pm
v1
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a year ago
v3

2023-11-24 7:37pm

Generated on Nov 24, 2023
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Dataset Split

Train Set 86%
126Images
Valid Set 3%
5Images
Test Set 10%
15Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -43% and +43%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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