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Versions
v1
2024-05-23 10:05pm
Generated on May 24, 2024
806 Total Images
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Dataset Split
Train Set 87%
705Images
Valid Set 8%
68Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -5° and +5°
Brightness: Between -11% and +11%
Blur: Up to 0.9px
Noise: Up to 1.05% of pixels