Dataset Versions
v6
2024-08-21 8:19am
Generated on Aug 21, 2024
2100 Total Images
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Dataset Split
Train Set 89%
1866Images
Valid Set 6%
129Images
Test Set 5%
105Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±6° Vertical
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%