pipe segmentation Computer Vision Dataset
217 Total Images
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Dataset Split
Train Set 88%
192Images
Valid Set 12%
25Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.88% of pixels