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Generative AI is revolutionizing how we think about data creation and augmentation for computer vision. In military contexts, where image data of relevant objects (e.g., vehicles, ships, drones) is often limited or sensitive, high-quality data augmentation strategies can make a significant impact. This student assignment focuses on novel applications of generative inpainting - the process of intelligently filling in or modifying parts of images - to enhance training data for military computer vision models. By leveraging cutting-edge generative models (e.g., diffusion, masked transformers), we aim to develop techniques that improve object detection or classification under more realistic or challenging scenarios.
Possible directions include:
The goal of this student project is to explore novel ways to apply generative AI as a data augmentation method in military-relevant computer vision tasks. In particular, this project focuses on the use of inpainting techniques to create enhanced training data. The idea is that these augmentations can help train deep learning-based object detectors or classifiers that perform better in real-world, operational conditions. One of the key challenges is that current generative models are mostly trained on civilian and RGB-centric data, so the student will explore state-of-the-art techniques and propose creative solutions to guide the generative process or extend it to niche domains.
You will perform this assignment within TNO’s Intelligent Imaging department. The Intelligent Imaging department is a passionate, creative, and dedicated team of professionals (60 people) specialized in developing groundbreaking applications in the field of computer vision. Our team members have diverse backgrounds, ranging from the medical field to artificial intelligence. Intelligent Imaging is a young and growing department which has built up a lot of expertise over the past years in AI and deep learning.
We are looking for a student that wants to join our cutting-edge generative AI research team to explore guided-diffusion techniques (or similar). This position is perfect for a student that is passionate about novel AI methods and defense applications. Additional requirements include that you are in the final stages of your master's degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a similar degree. You have experience in computer vision, artificial intelligence, deep learning and Python-programming.
Please include the following practical information in your cover letter:
You want an internship opportunity on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:
At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world.
At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society.
Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.
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