Dataset Versions
v2
2022-10-25 2:20pm
Generated on Oct 25, 2022
48 Total Images
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Dataset Split
Train Set 100%
48Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±15° Horizontal, ±17° Vertical
Blur: Up to 2.25px
Noise: Up to 11% of pixels
Cutout: 3 boxes with 10% size each