Dataset Versions

v10

2024-03-16 10:00pm

Generated on Mar 16, 2024

Dataset Split

Train Set 90%
276Images
Valid Set 7%
20Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -88° and +88°
Saturation: Between -49% and +49%
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%
Blur: Up to 1.6px

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