Dataset Versions

v2

2024-02-12 9:51am

Generated on Feb 12, 2024

Dataset Split

Train Set 86%
405Images
Valid Set 10%
46Images
Test Set 5%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1.05% of pixels

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