BABULAL AGRAWAL

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Wood defect detection

Instance Segmentation

Wood defect detection Image Dataset

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Versions
2023-11-18 2:32pm
v1
Nov 18, 2023
v1

2023-11-18 2:32pm

Generated on Nov 18, 2023
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29288 Total Images

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Dataset Split

Train Set 98%
28779Images
Valid Set 1%
306Images
Test Set 1%
203Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -180° and +180°
Saturation: Between -25% and +25%
Exposure: Between -20% and +20%
Noise: Up to 10% of pixels