Dataset Versions

v6

test

Generated on Nov 17, 2022

Dataset Split

Train Set 96%
45Images
Valid Set 2%
1Images
Test Set 2%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 15
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 5 boxes with 3% size each

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