Dataset Versions

v10

2024-01-27 6:52pm

Generated on Jan 27, 2024

Dataset Split

Train Set 86%
396Images
Valid Set 9%
40Images
Test Set 6%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Exposure: Between -21% and +21%

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