Dataset Versions
v1
2024-02-04 11:46am
Generated on Feb 4, 2024
96 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 8%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 1.49% of pixels
Cutout: 10 boxes with 10% size each