Versions
v9
2024-02-19 4:02pm
Generated on Feb 19, 2024
170 Total Images
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Dataset Split
Train Set 97%
165Images
Valid Set 3%
5Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -3° and +3°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Noise: Up to 1.01% of pixels