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Deep Learning for Computer Vision in Agricultural Drone Imagery

Internship in Den Haag, the Netherlands

Degree level


Job function


Required languages

English (Fluent)
Dutch (Basic)

Work experience

0 to 3 years



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Ever thought your Computer Vision skills could end up supporting the day-to-day activities of farmers across the globe? Do you enjoy developing new AI models and develop your skills? Then you've come to the right place.

What we ask of you

We are looking for interns that:

  • Provide Msc-level thinking;
  • Have experience with Machine Vision (e.g. OpenCV);
  • Have experience with Machine Learning;
  • Have experience programming in Python;
  • Enjoy working in small teams and a startup environment;
  • Enjoy taking ownership of technical problems;

Don’t tick all the boxes? Don’t worry! As long as you are willing to learn, we are willing to investigate the possibilities of a suitable internship.

What you will be doing

  • Put state-of-the-art techniques, like Mask R-CNN and YOLO, to practice;
  • Compare different pre-processing strategies for segmentation in very high resolution imagery;
  • Work on novel region proposal methods to optimize the performance of our segmentation model;

About VanBoven

VanBoven is a Dutch Agri-Tech startup in The Hague founded in 2018 by TU Delft and Wageningen University alumni. VanBoven provides farmers with accurate harvest predictions, based on drone-imagery and other sources of information. Using machine learning, VanBoven can identify and analyze each and every single plant in fields spanning many football fields.

VanBoven has an office in The Hague, on walking distance from Den Haag Holland Spoor station. There we develop our product, establish our business strategy, do sales and recruit new team members. Together we are working on a mission to change the agricultural world for the better. VanBoven currently has a team of 8 people with a perfectly flat organizational structure.

Even though we are a startup, VanBoven is by no means a playing ground – we have a handful of big farming customers, partnerships with universities and a serious commitment to investors and partners. Its serious business.


We use algorithms to analyze agricultural drone imagery. Our algorithms can identify and determine the physiological traits of every single plant in fields with over 150k plants. This requires Computer Vision algorithms, in some cases combined with supervised learning models.

As Computer Vision Intern you will join our engineering team in its quest to develop the world's best agricultural AI. You will test our current algorithms, advise us with possible improvements, implement these, develop new models and implement your solutions in our operational pipeline.

Our internship positions change over time as our product develops. We encourage you to get in touch with us so we can provide you with the latest openings, or draft your perfect assignment together. For inquiries, please contact Kaz (+31 6 38 31 25 58 or

Your day at VanBoven

As an intern for VanBoven you will work at our office in The Hague among our young and motivated team. During your first week we will help you get started and fully define your internship assignment together. Once you are up and running you will spend about 80% of the time on your own project, and 20% helping other team members with technical challenges. You will participate in our weekly technical meetings, have lunch with the team (and our singing housekeeper) and of enjoy drinks on Friday afternoon.


We want to make sure your internship gives you the best learning experience whilst also providing us with valuable results. Therefore we like to meet you in person and build your perfect internship assignment together.  If you have any questions, feel free to ask Kaz (+31 6 38 31 25 58 or Applications can be made through, or by sending a direct mail (short motivation + CV) to Kaz via email.

Logo VanBoven
About VanBoven
to company page

Bij VanBoven werk je aan een duurzame toekomst voor de land- en tuinbouw waarin data, drones en machine learning een belangrijke rol spelen. VanBoven analyseert agrarische drone-opnamen en past machine learning algoritmen toe om de oogst per individuele plant te voorspellen. De inzichten die hieruit volgen worden overzichtelijk aan de boer én zijn afnemers getoond waarmee de gehele waardeketen, van 'farm to fork', wordt geoptimaliseerd.

Den Haag
Active in 1 country
8 employees
70% men - 30% women
Average age is 25 years

What employees are saying


Data Analysis Intern


Tijdens mijn stage wilde ik graag leren werken met Python. Ik kreeg de ruimte om, samen met medeoprichter Eric, een opdracht vast te stellen waarin ik mezelf kon ontwikkelen op dat gebied. Zo heb ik geleerd wat ik wilde én een leuke tijd gehad.


Thesis Student


Bij VanBoven wordt er naar je geluisterd. Het team staat open open voor een andere invalshoek of nieuwe aanpak. Zo krijg ik de ruimte zelf te bepalen welke oplossing het best is en die ook uit te voeren.