Segmentation Dataset
v10
tile-70null-Donly
Generated on May 2, 2024
652 Total Images
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Dataset Split
Train Set 74%
484Images
Valid Set 13%
86Images
Test Set 13%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Filter Null: Require at least 70% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%