Final Thesis Project Computer Vision Dataset
Versions
26111 Total Images
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Dataset Split
Train Set 92%
24009Images
Valid Set 5%
1406Images
Test Set 3%
696Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -3° and +3°
Saturation: Between -12% and +12%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.54% of pixels