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2023-08-16 4:01pm
v1
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a year ago
v1

2023-08-16 4:01pm

Generated on Aug 16, 2023
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920 Total Images

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Dataset Split

Train Set 87%
804Images
Valid Set 8%
76Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
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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