Dataset Versions
v3
2024-06-14 5:43pm
Generated on Jun 14, 2024
17470 Total Images
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Dataset Split
Train Set 86%
14954Images
Valid Set 10%
1757Images
Test Set 4%
759Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.81% of pixels