Dataset Versions
v2
2024-04-17 7:01pm
Generated on Apr 17, 2024
369 Total Images
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Dataset Split
Train Set 96%
354Images
Valid Set 3%
10Images
Test Set 1%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 1.96% of pixels