A Benchmark Data Set and Evaluation of Deep Learning Architectures for Ball Detection in the RoboCup SPL

@inproceedings{OKeeffe2017ABD,
  title={A Benchmark Data Set and Evaluation of Deep Learning Architectures for Ball Detection in the RoboCup SPL},
  author={Simon O'Keeffe and Rudi C. Villing},
  booktitle={RoboCup},
  year={2017}
}
This paper presents a benchmark data set for evaluating ball detection algorithms in the RoboCup Soccer Standard Platform League. We created a labelled data set of images with and without ball derived from vision log files recorded by multiple NAO robots in various lighting conditions. The data set contains 5209 labelled ball image regions and 10924 non-ball regions. Non-ball image regions all contain features that had been classified as a potential ball candidate by an existing ball detector… CONTINUE READING

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