AugmentedModel Computer Vision Dataset
Versions
682 Total Images
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Dataset Split
Train Set 89%
603Images
Valid Set 7%
50Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 16% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels