Dataset Versions
v1
2024-11-16 3:05pm
Generated on Nov 16, 2024
799 Total Images
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Dataset Split
Train Set 87%
699Images
Valid Set 8%
67Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each