segmentation Image Dataset
v4
2024-01-01 7:42pm
Generated on Jan 2, 2024
120 Total Images
View All ImagesDataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels
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