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AI & Computer Vision · Developer
Hi, i’m a computer vision and AI enthusiast with a passion for exploring both the impressive strengths and the amusing weaknesses of intelligent systems. I recently completed my studies in computer science; I’m married and a proud father of two. I enjoy synth music, pen & paper role-playing, and the collectible card game "Magic: The Gathering".
2010–2012 · Erasmus-Kittler-Schule (Technical College)
64295 Darmstadt
· Technical college entrance qualification (computer science)
2014–2025 · THM – University of Applied Sciences
35390 Gießen
· Bachelor’s Degree in Computer Science
· Master’s Degree in Computer Science
During my final year I contributed to a research project on AI-assisted automated weed control in grassland. The goal is to reduce the need for herbicides by using deep learning to detect invasive plants and then remove them in an environmentally friendly way. My work focused on creating training data — from real field images to synthetic data and generative methods — and on training and evaluating neural networks for reliable plant detection. In my thesis, I developed a pre-trained deep learning model that can be fine-tuned to various target plants using few-shot learning based on general grassland knowledge.
Find me on GitHub
Reach me at lehn.mirko@gmail.com
Responsible according to § 5 TMG as well as § 55 Abs. 2 RStV:
Mirko Lehn
Ludwigsplatz 11
35390 Giessen
Germany
Contact: lehn.mirko@gmail.com