KonteynerV2 Computer Vision Model
130 Total Images
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Dataset Split
Train Set 92%
120Images
Valid Set 6%
8Images
Test Set 2%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.56% of pixels