Dataset Versions
v2
2023-10-28 1:45pm
Generated on Oct 28, 2023
4917 Total Images
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Dataset Split
Train Set 87%
4302Images
Valid Set 8%
411Images
Test Set 4%
204Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 3% of pixels