• Computer Science
  • Published in ArXiv 2015

Microsoft COCO Captions: Data Collection and Evaluation Server

@article{Chen2015MicrosoftCC,
  title={Microsoft COCO Captions: Data Collection and Evaluation Server},
  author={Xinlei Chen and Hao Fang and Tsung-Yi Lin and Ramakrishna Vedantam and Saurabh Gupta and Piotr Doll{\'a}r and C. Lawrence Zitnick},
  journal={ArXiv},
  year={2015},
  volume={abs/1504.00325}
}
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 330,000 images. For the training and validation images, five independent human generated captions will be provided. To ensure consistency in evaluation of automatic caption generation algorithms, an evaluation server is used. The evaluation server receives candidate captions and scores them using several popular metrics… CONTINUE READING

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