Dataset Versions

v4

2022-11-06 8:06pm

Generated on Nov 6, 2022

Dataset Split

Train Set 94%
2316Images
Valid Set 5%
119Images
Test Set 2%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 1% of pixels

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