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2024-02-20 11:06pm
v1
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9 months ago
v1

2024-02-20 11:06pm

Generated on Feb 20, 2024
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1520 Total Images

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Dataset Split

Train Set 96%
1452Images
Valid Set 3%
44Images
Test Set 2%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels

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