Dataset Versions
v2
2024-04-25 9:35pm
Generated on Apr 25, 2024
821 Total Images
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Dataset Split
Train Set 92%
756Images
Valid Set 5%
39Images
Test Set 3%
26Images
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
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.3% of pixels