A YOLOv2 detector trained only on simulated XY-model images with injected noise detects topological defects in experimental smectic-C films at a mAP of 0.818, close to human-level agreement.
Dey, International Journal of Computer Science and Information Technologies 7, 6 (2016)
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End-to-End Machine Learning for Experimental Physics: Using Simulated Data to Train a Neural Network for Object Detection in Video Microscopy
A YOLOv2 detector trained only on simulated XY-model images with injected noise detects topological defects in experimental smectic-C films at a mAP of 0.818, close to human-level agreement.