Dataset Versions
v2
2024-06-24 9:41am
Generated on Jun 24, 2024
635 Total Images
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Dataset Split
Train Set 87%
555Images
Valid Set 8%
53Images
Test Set 4%
27Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels