Dataset Versions
Versions
v2
2022-02-11 5:43pm
Generated on Feb 11, 2022
3729 Total Images
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Dataset Split
Train Set 96%
3585Images
Valid Set 1%
50Images
Test Set 3%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 2% of pixels