Dataset Versions

v2

2024-05-27 1:30am

Generated on May 26, 2024

Dataset Split

Train Set 89%
3579Images
Valid Set 8%
322Images
Test Set 3%
136Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-70% Horizontal Region, 25-70% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical

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