Dataset Versions

v1

2024-07-18 7:04am

Generated on Jul 18, 2024

557 Total Images

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Dataset Split

Train Set 95%
531Images
Valid Set 3%
17Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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