Dataset Versions

v4

ResizeContrastRotationBlurNoise

Generated on Jul 17, 2024

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Dataset Split

Train Set 75%
285Images
Valid Set 12%
47Images
Test Set 12%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 850x700
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Blur: Up to 2.6px
Noise: Up to 0.34% of pixels

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