Dataset Versions

2024-09-26 6:07am

Generated on Sep 26, 2024

Train Set 82%

1680Images

Valid Set 12%

240Images

Test Set 6%

120Images

Auto-Orient: Applied

Resize: Stretch to 640x640

Outputs per training example: 2

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Rotation: Between -15° and +15°

Shear: ±10° Horizontal, ±10° Vertical

Saturation: Between -15% and +15%

Brightness: Between -20% and +20%

Exposure: Between -10% and +10%

Blur: Up to 2px

Noise: Up to 0.5% of pixels