Dataset Versions
v2
2024-11-23 12:45pm
Generated on Nov 23, 2024
744 Total Images
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Dataset Split
Train Set 100%
744Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Blur: Up to 2.5px