Dataset Versions
v2
2023-10-15 11:56pm
Generated on Oct 15, 2023
28 Total Images
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Dataset Split
Train Set 75%
21Images
Valid Set 14%
4Images
Test Set 11%
3Images
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 -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 1px
Bounding Box: Brightness: Between -25% and +25%