Dataset Versions
Versions
v1
2024-08-08 5:27am
Generated on Aug 8, 2024
2201 Total Images
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Dataset Split
Train Set 88%
1929Images
Valid Set 8%
182Images
Test Set 4%
90Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -23° and +23°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Blur: Up to 4.1px