Dataset Versions
Versions
v1
2023-06-20 3:18pm
Generated on Jun 20, 2023
518 Total Images
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Dataset Split
Train Set 87%
453Images
Valid Set 8%
43Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 48% Maximum Zoom
Rotation: Between -41° and +41°
Shear: ±12° Horizontal, ±9° Vertical
Grayscale: Apply to 100% of images
Hue: Between -30° and +30°
Saturation: Between -44% and +44%
Brightness: Between -21% and +21%
Exposure: Between -22% and +22%
Blur: Up to 2px