Dataset Versions

v6

2024-03-04 6:37pm

Generated on Mar 4, 2024

Dataset Split

Train Set 88%
1260Images
Valid Set 12%
170Images
Test Set 0%
4Images

Preprocessing

Resize: Fit (black edges) in 2048x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 2% of images
Hue: Between -15° and +15°
Blur: Up to 0.5px
Noise: Up to 1.01% of pixels

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