segmentacion_bd Computer Vision Dataset
5535 Total Images
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Dataset Split
Train Set 92%
5109Images
Valid Set 6%
320Images
Test Set 2%
106Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -21% and +21%