Recovering data: Neural network model finds small objects in dense images
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.
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