Dataset Versions
v1
2023-10-22 8:20pm
Generated on Oct 22, 2023
644 Total Images
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Dataset Split
Train Set 88%
564Images
Valid Set 8%
53Images
Test Set 4%
27Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 49% of images
Hue: Between -116° and +116°
Saturation: Between -82% and +82%
Brightness: Between -26% and +26%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 15 boxes with 8% size each