Dataset Versions

v6

2024-03-01 6:19pm

Generated on Mar 1, 2024

Dataset Split

Train Set 82%
2790Images
Valid Set 12%
391Images
Test Set 6%
206Images

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, 21% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels

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