Dataset Versions
v3
2023-07-08 11:24am
Generated on Jul 8, 2023
96 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 9%
9Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -16° and +16°
Shear: ±7° Horizontal, ±45° Vertical
Hue: Between -54° and +54°
Saturation: Between -71% and +71%
Noise: Up to 2% of pixels
Cutout: 6 boxes with 14% size each