Dataset Versions
v2
2024-10-10 6:56am
Generated on Oct 10, 2024
241 Total Images
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Dataset Split
Train Set 87%
210Images
Valid Set 9%
21Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 1-99% Horizontal Region, 1-99% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%
Blur: Up to 0.1px