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Helmet Classification

Classification

Helmet Classification Image Dataset

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Versions
2023-03-04 4:39pm
v2
Mar 4, 2023
2023-03-04 4:21pm
v1
Mar 4, 2023
v2

2023-03-04 4:39pm

Generated on Mar 4, 2023
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17443 Total Images

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Dataset Split

Train Set 94%
16350Images
Valid Set 3%
596Images
Test Set 3%
497Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Blur: Up to 3px
Noise: Up to 17% of pixels
Cutout: 5 boxes with 28% size each