Dataset Versions
v2
2024-09-23 9:12am
Generated on Sep 23, 2024
4188 Total Images
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Dataset Split
Train Set 100%
4188Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±9° Horizontal, ±6° Vertical
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Exposure: Between -9% and +9%
Blur: Up to 0.9px
Noise: Up to 1.72% of pixels