Recovering data: Neural network model finds small objects in dense images
Tuesday, August 4, 2020 - 14:00
in Physics & Chemistry
In efforts to automatically capture important data from scientific papers, computer scientists have developed a method that can 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 model has many possible applications in modern life.