Dataset Versions
v6
2024-11-18 10:00pm
Generated on Nov 19, 2024
148 Total Images
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Dataset Split
Train Set 87%
129Images
Valid Set 9%
13Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%