Segmentation Dataset
v5
tile-Donly
Generated on May 2, 2024
1084 Total Images
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Dataset Split
Train Set 70%
763Images
Valid Set 16%
176Images
Test Set 13%
145Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Filter Null: Require at least 40% of images to contain annotations.
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%