Dataset Versions
v2
2024-10-01 1:40pm
Generated on Oct 1, 2024
720 Total Images
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Dataset Split
Train Set 100%
720Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Blur: Up to 0.9px
Noise: Up to 0.02% of pixels