Pekan Fish Classification Computer Vision Model
68 Total Images
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Dataset Split
Train Set 84%
57Images
Valid Set 10%
7Images
Test Set 6%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels