Dataset Versions
v4
2024-10-12 8:31am
Generated on Oct 12, 2024
3400 Total Images
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Dataset Split
Train Set 82%
2800Images
Valid Set 9%
300Images
Test Set 9%
300Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%