Recovering Data: NIST’s Neural Network Model Finds Small Objects in Dense Images
- Magazine Article
- TBMG-38018
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- English
In efforts to automatically capture important data from scientific papers, computer scientists at the National Institute of Standards and Technology (NIST) have developed a method to accurately detect small, geometric objects such as triangles within dense, low-quality plots contained in image data. Employing a neural network approach designed to detect patterns, the NIST model has many possible applications in modern life.