Training a Neural Network to Find Image Features
Chad Abbott and Joel Cockrell
This is the initial data obtained for finding eyes. The user clicks on a desired
search pattern and a blue box is drawn around that pattern. The white boxes are drawn
whe
n the error from the search criteria and the test criteria is found within tolerable
limits.
The process
is capable of finding the target feature but also produces both Type I
(alleging the feature
—
“eye”
—
is
not
present where it is
) and Type II errors (
alle
ging the
feature
—
“eye”
—
is present where it is not
).
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