Play and Learn: Using Video Games to Train Computer Vision Models

@article{Shafaei2016PlayAL,
  title={Play and Learn: Using Video Games to Train Computer Vision Models},
  author={Alireza Shafaei and James J. Little and Mark Schmidt},
  journal={CoRR},
  year={2016},
  volume={abs/1608.01745}
}
Video games are a compelling source of annotated data as they can readily provide fine-grained groundtruth for diverse tasks. However, it is not clear whether the synthetically generated data has enough resemblance to the real-world images to improve the performance of computer vision models in practice. We present experiments assessing the effectiveness on real-world data of systems trained on synthetic RGB images that are extracted from a video game. We collected over 60,000 synthetic samples… CONTINUE READING
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Little . Real - time human motion capture with multiple depth cameras

  • Alireza Shafaei, J. James
  • 2016

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