Dataset Versions
v1
2023-10-22 10:16am
Generated on Oct 22, 2023
679 Total Images
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Dataset Split
Train Set 87%
594Images
Valid Set 8%
57Images
Test Set 4%
28Images
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, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1.25px
Noise: Up to 5% of pixels