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Comment: added images

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The horizontal and vertical flip augmentations mirror the images horizontally or vertically and add the modified images to the training set in order to improve accuracy and robustness. 

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On the other hand, it's not suitable for inspecting defects on static visual inspection, such as PCB (Printed Circuit Boards), where the orientation of the parts is being checked and we e.g. want to recognize if some individual part is flipped. In this case, the flip augmentations should be disabled for the model to learn the different classes correctly.

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Width shift (min 0, max 100) [%]

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Brightness Resistance values should be increased if you think the lighting is affecting the software’s ability to identify defects due to the brightness/lightness changes on the images.

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Shear (min 0, max 360)

The object can be skewed by a given factor in the direction of x or y axis.

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Saturation is the strength or purity of the color and represents the amount of gray in proportion to the hue. A "saturated" color is pure and an "unsaturated" color has a large percentage of gray.

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Contrast resistance (min 0, max 100)

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This augmentation creates images with increased/decreased contrast. By selecting a larger number you can enlarge the possible range of contrast increase/decrease. The model should then be more resistant to changes in image contrast.

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