Classification - Oyster Computer Vision Dataset
660 Total Images
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Dataset Split
Train Set 82%
540Images
Valid Set %
0Images
Test Set 18%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 644x496
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Noise: Up to 1.99% of pixels