gauge-test Image Dataset
Versions
v1
2023-11-29 11:36am
Generated on Nov 29, 2023
97 Total Images
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Dataset Split
Train Set 87%
84Images
Valid Set 9%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 2% of images
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -3% and +3%
Exposure: Between -2% and +2%
Blur: Up to 0.75px
Noise: Up to 1% of pixels
Cutout: 1 boxes with 1% size each
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