Segmentation Dataset
v6
no-tile-null
Generated on May 2, 2024
590 Total Images
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Dataset Split
Train Set 74%
435Images
Valid Set 13%
79Images
Test Set 13%
76Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%