Faculty of Engineering

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defect-detection-toothbrush

Instance Segmentation

defect-detection-toothbrush Image Dataset

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Versions
2024-02-23 1:31pm
v2
Feb 23, 2024
2024-02-23 1:22pm
v1
Feb 23, 2024
v2

2024-02-23 1:31pm

Generated on Feb 23, 2024
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244 Total Images

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Dataset Split

Train Set 87%
213Images
Valid Set 9%
21Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels