v3

2024-08-02 12:28am

Generated on Aug 2, 2024

Dataset Split

Train Set 88%
585Images
Valid Set 8%
55Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%

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