Bachelor Thesis: Determine the optimum relation between objects and background for a specific object class for machine learning

Intern / Student, Part-time ยท Munich

Your tasks
For deep learning, neural networks are trained with manual annotations (labels). For detection success the relation etween objects and background is an important success factor.

Objective is to develop a new approach to determine the optimum relation between objects and background for a specific object class. It will require to run experiments and to define a metric to measure background to object ratio as well as resulting impact on the detection performance after training.
  • Machine learning (CNN, deep learning) training and inference
  • Programming with Python
  • Use of image libraries like GDAL etc.
  • Visualization with GIS tools
Areas of expertise:
  • Statistical methods
  • Quality assessment of the detection (KPIs)
  • Automated training of neural networks
  • Data augmentation
Life as TerraLouper is
  • exciting to be part of a highly motivated, international top team of engineers
  • interesting to work with cutting-edge technologies, agile development practices and product-focused environment
  • office location in the heart of Munich
  • flexible working hours
  • multi-cultural team
About us
TerraLoupe is a German startup to empower autonomous mobility. We use machine learning technology to automaticcally detect objects from aerial imagery to create a 3D digital twin of the world. Located in the heart of Munich the next level of geo platform and HD mapping is getting to reality.
Your application
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