Dataset Versions
v3
2024-04-15 10:33pm
Generated on Apr 15, 2024
158 Total Images
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Dataset Split
Train Set 89%
141Images
Valid Set 11%
17Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise