Dataset Versions
v1
2024-02-25 11:53pm
Generated on Feb 26, 2024
228 Total Images
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Dataset Split
Train Set 95%
216Images
Valid Set 2%
4Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -46% and +46%
Blur: Up to 0.9px
Noise: Up to 0.93% of pixels
Cutout: 5 boxes with 10% size each