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2023-03-08 9:19pm
v1
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2 years ago
v1

2023-03-08 9:19pm

Generated on Mar 8, 2023
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3776 Total Images

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Dataset Split

Train Set 87%
3300Images
Valid Set 8%
312Images
Test Set 4%
164Images

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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 17% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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