Dataset Versions
v1
2024-06-24 10:48am
Generated on Jun 24, 2024
528 Total Images
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Dataset Split
Train Set 88%
462Images
Valid Set 8%
44Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 0.69% of pixels