Dataset Versions
Versions
v1
2023-08-04 11:16am
Generated on Aug 4, 2023
585 Total Images
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Dataset Split
Train Set 99%
579Images
Valid Set 1%
4Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 700x1000
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±9° Horizontal, ±11° Vertical
Hue: Between -16° and +16°
Saturation: Between -19% and +19%
Brightness: Between -14% and +14%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 1% of pixels