Dataset Versions

2024-02-04 4:46pm

Generated on Feb 4, 2024

Train Set 87%

2652Images

Valid Set 8%

253Images

Test Set 4%

126Images

Auto-Orient: Applied

Resize: Stretch to 640x640

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Crop: 0% Minimum Zoom, 10% Maximum Zoom

Shear: ±10° Horizontal, ±10° Vertical

Hue: Between -20° and +20°

Saturation: Between -25% and +25%

Brightness: Between -15% and +15%

Exposure: Between -10% and +10%

Blur: Up to 1.5px

Noise: Up to 0.1% of pixels