Dataset Versions

v8

640 v2

Generated on Jan 11, 2023

Dataset Split

Train Set 87%
675Images
Valid Set 8%
62Images
Test Set 5%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -38% and +38%

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