Dataset Versions
v2
2023-01-14 11:30pm
Generated on Jan 15, 2023
779 Total Images
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Dataset Split
Train Set 87%
681Images
Valid Set 8%
65Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 2px
Noise: Up to 5% of pixels
Mosaic: Applied