: Factors like precipitation, haze, and lighting changes further distort these features, leading to high false-positive rates in automated detection. Why Accuracy Matters
Since "Shadow Crack" is not a widely recognized term in a single specific field, I have interpreted this request based on the most common contexts where these words appear together.
: Using image augmentation based on brightness value differences, the system identifies and "lifts" the shadow from the image to see what lies beneath.
: Factors like precipitation, haze, and lighting changes further distort these features, leading to high false-positive rates in automated detection. Why Accuracy Matters
Since "Shadow Crack" is not a widely recognized term in a single specific field, I have interpreted this request based on the most common contexts where these words appear together. shadow crack
: Using image augmentation based on brightness value differences, the system identifies and "lifts" the shadow from the image to see what lies beneath. : Factors like precipitation, haze, and lighting changes