Dataset Versions
Versions
v1
2023-12-02 9:29pm
Generated on Dec 2, 2023
381 Total Images
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Dataset Split
Train Set 100%
381Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
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: ±13° Horizontal, ±8° Vertical
Saturation: Between -14% and +14%
Brightness: Between -25% and +25%
Exposure: Between -19% and +19%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Cutout: 8 boxes with 7% size each