Dataset Versions
v2
2024-09-28 12:29pm
Generated on Sep 28, 2024
75 Total Images
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Dataset Split
Train Set 88%
66Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -22° and +22°
Noise: Up to 0.73% of pixels