Seamap practice 1 Computer Vision Model
2501 Total Images
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Dataset Split
Train Set 88%
2199Images
Valid Set 8%
199Images
Test Set 4%
103Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 312x312
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%