Dataset Versions
v3
2024-07-26 9:01am
Generated on Jul 26, 2024
120 Total Images
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Dataset Split
Train Set 93%
111Images
Valid Set 6%
7Images
Test Set 2%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Brightness: Between -15% and +15%
Blur: Up to 3.8px
Noise: Up to 1.49% of pixels