Corpus ID: 34240712

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

@article{Wu2017AIC,
  title={AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding},
  author={J. Wu and He Zheng and Bo Zhao and Yixin Li and Baoming Yan and R. Liang and Wenjia Wang and Shipei Zhou and Guosen Lin and Yanwei Fu and Y. Wang},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.06475}
}

J. Wu, He Zheng, +9 authors Y. Wang

Published 2017

Computer Science

ArXiv

Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets. [...] Key Method In this dataset, we annotate class labels (LAD), keypoint coordinate (HKD), bounding box (HKD and LAD), attribute (LAD) and caption (ICC). These rich annotations bridge the semantic gap between low-level images and high-level concepts. The proposed dataset is an effective benchmark to evaluate and improve different computational methods. In addition, for related tasks, others can also use our…Expand Abstract

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