EMA Dataset

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2023-11-23 8:07pm
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7 months ago
2023-11-23 7:52pm
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7 months ago
2023-11-23 5:11pm
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7 months ago
v1

2023-11-23 5:11pm

Generated on Nov 23, 2023
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130 Total Images

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Dataset Split

Train Set 92%
120Images
Valid Set 8%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -54° and +54°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise