Dataset Versions
Versions
v1
2023-08-03 8:48pm
Generated on Aug 3, 2023
44 Total Images
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Dataset Split
Train Set 89%
39Images
Valid Set 7%
3Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -99% and +99%
Brightness: Between -30% and +30%
Exposure: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 3% of pixels