Dataset Versions
Versions
v1
2024-05-29 11:31am
Generated on May 29, 2024
17 Total Images
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Dataset Split
Train Set 88%
15Images
Valid Set 6%
1Images
Test Set 6%
1Images
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
Saturation: Between -50% and +50%
Brightness: Between 0% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.5% of pixels