Dataset Versions

v1

2024-02-05 10:55pm

Generated on Feb 5, 2024

Dataset Split

Train Set 88%
456Images
Valid Set 8%
44Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.6% of pixels

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