Dataset Versions
v8
2024-03-25 3:21pm
Generated on Mar 25, 2024
806 Total Images
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Dataset Split
Train Set 87%
702Images
Valid Set 9%
69Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±11° Horizontal, ±11° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 5.01% of pixels
Cutout: 3 boxes with 15% size each