Dataset Versions
v4
2024-02-17 5:56pm
Generated on Feb 17, 2024
7352 Total Images
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Dataset Split
Train Set 87%
6432Images
Valid Set 11%
827Images
Test Set 1%
93Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels