Dataset Versions
v4
Basic Augmentation
Generated on Feb 25, 2023
512 Total Images
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Dataset Split
Train Set 90%
462Images
Valid Set 4%
20Images
Test Set 6%
30Images
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
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between 0% and +51%
Noise: Up to 5% of pixels