Dataset Versions
Versions
v1
2024-05-28 4:30pm
Generated on May 28, 2024
41 Total Images
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Dataset Split
Train Set 88%
36Images
Valid Set 7%
3Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1080
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -22° and +22°
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Noise: Up to 0.18% of pixels