Masks (IMAGE)
Caption
NIST researchers found that using certain masks (A and C) to mark data helped train a neural network model to detect small, geometric objects within dense, low-quality plots. The purpose of the project was to recover the lost data in journal articles, but this type of object detection also has other applications such as image analyses, self-driving cars, surveillance, and machine inspections.
Credit
NIST
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