Lehrstuhl für Angewandte Softwaretechnik - Chair for Applied Software Engineering

Master's Thesis

Using Synthetic Data for Classification of Small Parts

Advisor

Sajjad Taheri

Author

Amr Abdelraouf

Date

15.03.2018

Studying methods to create datasets from 3D models and use them in training a model for small parts classifier. This method will be compared with the normal manually photographing approach in terms of usability of dataset creation and performance of the classifiers.

Mission Statement

Developing and managing software is always on the move. Continuously growing complexity and shortened development cycles require flexibility, new ideas and courage to challenge traditional approaches. This is what we aim in research and teaching.

Together with industrial and research partners, we develop, evaluate and implement new methods and solutions to deal with today's challenges.

Teaching is our main concern. Following learning by doing, we offer lectures, seminars and practical courses with real projects and customers. Students prepare for their professional life, gain theoretical and practical knowledge and have fun.

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JASS
St. Petersburg, Russia

Ferienakademie
Sarntal, Südtirol

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