Dataset Versions

v15

2024-07-30 4:24pm

Generated on Jul 30, 2024

Dataset Split

Train Set 80%
747Images
Valid Set 20%
186Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.5% of pixels
Cutout: 5 boxes with 5% size each

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