Dive into the technical depths of computer vision projects in our upcoming webinar. Tailored for technical and semi-technical audiences, this session is a response to your requests for a more in-depth exploration of an AI project. Join us as we unfold a real-world case study with SBA, showcasing advanced AI techniques for preserving pollinators.

You'll get an insider's view of:

• AI-Powered Conservation Efforts: Learn from Greg Emerick, CEO at SBA, and Victor Hutse, Solution Lead, about the intricacies of applying AI in ecological research. Their insights will provide a blueprint for harnessing AI in environmental conservation, using the preservation of pollinators as a key example.
  
  

• Mastering CV Project Challenges: Mattia Molon, Machine Learning Engineer, and Victor Hutse will take you through the lifecycle of a computer vision project. They will share valuable strategies for overcoming common obstacles, from data collection to model iteration, providing a practical guide for both technical and semi-technical professionals.
  
  

• The Forefront of Computer Vision: Matthias De Lange, Senior Machine Learning Engineer, will introduce you to the latest advancements in the field. Delve into the potential of multimodality, foundation models, and GenAI, and explore how these cutting-edge technologies can be applied to your projects.

This webinar is designed to not just inform, but inspire.

By the end, you'll have a clearer understanding of how to approach and manage computer vision projects effectively, using our work with SBA as a stepping stone into the vast possibilities of AI in environmental and other sectors.

We hope you'll be able to apply these insights to your computer vision endeavors!