Recovering Data: NIST’s Neural Network Model Finds Small Objects in Dense Images | NIST

Recovering Data: NIST’s Neural Network Model Finds Small Objects in Dense Images | NIST

Recovering Data: NIST’s Neural Network Model Finds Small Objects in Dense Images

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.

NIST’s neural network model captured 97% of objects in a defined set of test images, locating the objects’ centers to within a few pixels of manually selected locations.

Read More