Dataset Versions
v5
2024-02-24 4:50pm
Generated on Feb 24, 2024
529 Total Images
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Dataset Split
Train Set 95%
504Images
Valid Set 2%
12Images
Test Set 2%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels