v3

2024-06-29 5:20pm

Generated on Jun 29, 2024

Dataset Split

Train Set 88%
525Images
Valid Set 8%
50Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±6° Horizontal, ±18° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -12° and +12°

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