Dataset Versions
v2
2023-01-03 6:09am
Generated on Jan 3, 2023
807 Total Images
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Dataset Split
Train Set 87%
705Images
Valid Set 6%
51Images
Test Set 6%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 10% Minimum Zoom, 25% Maximum Zoom
Shear: ±42° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 5 boxes with 12% size each