Master Thesis "Automatic annotation tool for accurate object recognition using Convolutional Neural Networks"

High Tech Campus Villach, Euro­pa­straße 12, 9524 Villach, Austria

Silicon Austria Labs (SAL) has been founded to be Austria's top research center for electronic based systems (EBS). The application-oriented center offers cooperative research at three locations – Graz, Linz and Villach – in four pioneering research divisions: System integration, sensor systems, RF systems and power electronics. In the network of science and economy, SAL is offering “key enabling technologies” for electronic based systems and is laying the basis for smart products and processes that create the foundations for things such as Industry 4.0, the Internet of Things (IOT), autonomous driving, cyber-physical systems (CPS), AI, smart cities, smart energy and smart health.

Your future responsibilities

  • Accurate object recognition in a sequence of images is a challenging problem. The state-of-the-art algorithms for object recognition rely on Convolutional Neural Networks, which however require a lot of data for the training phase. There is then the need for developing tools to augment and speed up the annotation process, in order to build larger labelled datasets.
  • Open source annotation tools exist, but they always require manual intervention from a human user. The possibility of implementing semi-automatic annotation methods has the potential for greatly reducing the load of such process. At SAL our goal is to perform automatic annotations with little human intervention building a system-in-the-loop using Convolutional Neural Networks.
  • The goal of the master thesis is to implement the semi-automatic annotation tool, train it on acquired data and test its performance.

In particular, the candidate will:
  • Design a tool for semi-automatic object annotation in image sequences, making use of Convolutional Neural Networks as object detector.
  • Acquire data to be annotated.
  • Develop the tool and train the object detector on the acquired data.
  • Write and defend the thesis, optionally write a scientific publication.              

Your profile

  • Master student in Engineering, Computer Science or related fields.
  • Experience in programming languages, most notably Python, experience with Javascript would be also beneficial.
  • Experience with Machine Learning and Computer Vision is also beneficial.
  • Autonomous, well orga­nized and enjoying work in a dynamic and multi­cul­tural team.
  • Oral and written commu­ni­ca­tion skills in English.

Important Facts

  • Start date (planned): Spring/Summer 2020
  • Duration (planned): 6 Months
  • Payment: 1.500 € monthly gross (38,5 hours per week)
  • Place: Silicon Austria Labs, Villach, Austria
  • State-of-the-art laboratories and equipment.
  • An international scientific environment and contacts with our industrial network.
  • Opportunity to work on a hot topic with industrial collaborations.

Become part of Silicon Austria Labs

The top research center for electronic based systems (EBS). Unfold the future, unfold yourself.
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