A semi-automatic pipeline, ARS, uses a robot-moved camera and a one-time augmented-reality pen drawing to auto-label tens of thousands of frames, cutting annotation cost dramatically and training object detectors as well as manual labels.
International journal of computer vision 111(1), 98–136 (2015)
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Semi-Automatic Labeling for Deep Learning in Robotics
A semi-automatic pipeline, ARS, uses a robot-moved camera and a one-time augmented-reality pen drawing to auto-label tens of thousands of frames, cutting annotation cost dramatically and training object detectors as well as manual labels.