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Versions
2023-11-27 3:31pm
v3
·
a year ago
2023-09-27 5:18pm
v2
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a year ago
2023-09-12 10:12pm
v1
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a year ago
v3

2023-11-27 3:31pm

Generated on Nov 27, 2023
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1300 Total Images

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Dataset Split

Train Set 92%
1200Images
Valid Set 4%
50Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 6% of pixels

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