Dataset Versions
v2
2023-01-28 3:22pm
Generated on Jan 28, 2023
47 Total Images
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Dataset Split
Train Set 89%
42Images
Valid Set 6%
3Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -34° and +34°
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down