PloyBoardInstanceSeg Computer Vision Dataset
340 Total Images
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Dataset Split
Train Set 88%
300Images
Valid Set 12%
40Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±6° Horizontal, ±6° Vertical
Hue: Between -12° and +12°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.06% of pixels
Cutout: 2 boxes with 2% size each