Dataset Versions
v2
2024-04-17 7:34pm
Generated on Apr 17, 2024
4770 Total Images
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Dataset Split
Train Set 91%
4320Images
Valid Set 7%
320Images
Test Set 3%
130Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.53% of pixels