Wire 2 Computer Vision Dataset
Versions
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels