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2024-01-23 12:41pm
v2
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10 months ago
2024-01-23 12:21pm
v1
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10 months ago
v2

2024-01-23 12:41pm

Generated on Jan 23, 2024
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3490 Total Images

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Dataset Split

Train Set 86%
2991Images
Valid Set 6%
199Images
Test Set 9%
300Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.38% of pixels
Bounding Box: Brightness: Between -15% and +15%

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