Where Data Meets Computer Science
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Deep Learning

  • Image features-based deep learning system for counterfeit goods detection.
  • Modelling human factors to predict form conversion for consumer goods products.

Consumer goods.

Consumer goods.

Collaborators:

  • Procter & Gamble

Publications:

  • [2017,inproceedings] bibtex
    P. T. G. Jackson and B. Obara, "Avoiding over-detection: towards combined object detection and counting," in International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, 2017, pp. 75-85.
    @inproceedings{Jackson2017,
      author = {Philip T.G. Jackson and Boguslaw Obara},
      title = {Avoiding over-detection: towards combined object detection and counting},
      booktitle = {International Conference on Artificial Intelligence and Soft Computing},
      address = {Zakopane, Poland},
      month = {11-15 June},
      pages = {75-85},
      year = {2017}
    }