Centre of Excellence in Machine Learning

Project 1: Car model analysis with artificial neural networks

Objectives

  • Explore possible neural architectures to handle the problem of car model identification using grained features.
  • Reproduce the results reported in the paper linked here.

Practical applications

  • Paying tolls.
  • Video surveillance and car verification.
  • Smart cities.
  • Mobile applications to instantly show car information.
  • Predicting popularity of vehicles.

Datasets

Tools/Frameworks

Expected Results

  • Deliver a trained neural network for car model identification
  • Outperform accuracy scores reported by the chinese paper.

Checklist

References

Comments

Topic revision: r7 - 2018-02-06 - jruizvar
 

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