Dataset Versions

Versions
2024-01-31 10:27pm
v1
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a year ago
v1

2024-01-31 10:27pm

Generated on Jan 31, 2024
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10400 Total Images

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Dataset Split

Train Set 96%
10026Images
Valid Set 3%
309Images
Test Set 1%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
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%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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