Corpus ID: 522645

Academic Torrents: Scalable Data Distribution

@article{Lo2016AcademicTS,
  title={Academic Torrents: Scalable Data Distribution},
  author={Henry Z. Lo and Joseph Paul Cohen},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.04395}
}
As competitions get more popular, transferring ever-larger data sets becomes infeasible and costly. For example, downloading the 157.3 GB 2012 ImageNet data set incurs about $4.33 in bandwidth costs per download. Downloading the full ImageNet data set takes 33 days. ImageNet has since become popular beyond the competition, and many papers and models now revolve around this data set. For sharing such an important resource to the machine learning community, the sharers of ImageNet must shoulder a… Expand
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