Mask R-CNN Weld Defect 3 Dataset

v4

2024-05-28 7:09pm

Generated on May 28, 2024

Dataset Split

Train Set 82%
144Images
Valid Set 11%
20Images
Test Set 7%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px

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