Dataset Versions
v1
2022-12-09 11:44am
Generated on Dec 9, 2022
6614 Total Images
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Dataset Split
Train Set 85%
5616Images
Valid Set 6%
420Images
Test Set 9%
578Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each