cross_detection Dataset
v1
2024-07-30 6:58pm
Generated on Jul 30, 2024
72 Total Images
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Dataset Split
Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px