PyData Yerevan 2022

Bachelor theses in Deep Learning: submitted to an Armenian University
08-13, 13:45–14:25 (Asia/Yerevan), 113W PAB

Bachelor theses written in the area of Deep Learning based object detection will be presented. Main focus is on the detection of vehicles captured from top, e.g. parking lots, satellites: I will present the challenges we encountered and solved in the scope of Bachelor thesis. The goal of this talk is not only to present the results of young undergraduate students, but also to encourage new ones to get involved into the sphere.

  • Short intro about base problems solved by deep learning
  • Introduction about top view image datasets for vehicle detection
  • CNN architectures and meta-architectures used for detection
  • Experimental results including short demo video

Prior Knowledge Expected

Previous knowledge expected


Yerevan, Armenia

Bachelors: State Engineering University of Armenia at the faculty of Applied Mathematics and Informatics

2014 – 2017

Karlsruhe, Germany

Masters: Karlsruhe Institute of Technology (KIT) at the faculty of Informatics.

Specialization: Cognitive Systems and Algorithm Design
Master Thesis: Deep Learning based Parking space segmentation
June 2015 - Aug. 2015

Karlsruhe, Germany

Research assistant at KIT, Computer Vision for human-machine interaction lab

Affective Impact of Movies and Violence scene detection
Oct. 2015 – April 2016

Karlsruhe, Germany

Research assistant at KIT, Forschungszentrum Informatik

Developing software for autonomous driving systems
Since 2017

Stuttgart, Germany

Computer Vision and Machine Learning Engineer/Function Developer in the automotive industry