Versions
v5
2025-02-03 5:40pm
Generated on Feb 3, 2025
418 Total Images
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Dataset Split
Train Set 88%
366Images
Valid Set 8%
35Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels