Dataset Versions
v1
2023-03-08 11:09pm
Generated on Mar 8, 2023
930 Total Images
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Dataset Split
Train Set 87%
813Images
Valid Set 8%
77Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Hue: Between -16° and +16°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels