5g_lab Computer Vision Model
Versions
261 Total Images
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Dataset Split
Train Set 84%
219Images
Valid Set 12%
31Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Applied
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -12% and +12%
Blur: Up to 2px
Noise: Up to 5% of pixels
Camera Gain: Variance: 0.05