Dataset Versions
v2
2023-03-14 8:33pm
Generated on Mar 14, 2023
22358 Total Images
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Dataset Split
Train Set 92%
20643Images
Valid Set 8%
1715Images
Test Set %
0Images
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, 32% Maximum Zoom
Hue: Between -52° and +52°
Saturation: Between -44% and +44%
Brightness: Between -41% and +41%
Exposure: Between -8% and +8%
Blur: Up to 1.5px
Noise: Up to 5% of pixels