March 26, 2025 | 9 AM Pacific
Stay tuned for additional speakers to be announced!
Voxel51
AI in agriculture is only as good as the data behind it, but messy datasets, poor annotations, and hidden biases slow progress. Join Paula for a dynamic session on semantic segmentation, where she will show how FiftyOne can transform dataset curation, annotation analysis, and model evaluation for agricultural AI. Using real-world coffee datasets from Colombia, we’ll dive into the segmentation of coffee fruits at different maturation stages, leveraging FiftyOne’s powerful tools, from uniqueness detection to similarity search and embedding visualizations. Whether interested in farm robotics, remote sensing, or plant phenotyping, this talk will give you actionable techniques to refine your datasets and supercharge your AI workflows.
University of Copenhagen
There’s no doubt that advances in vision technology (algorithms, data, computation and software) are transforming the way fields in agriculture are managed. The unit of management is moving from whole fields and farms to individual plants and even insects. Yet the approach taken—generally closed source, proprietary solutions—mean we aren’t innovating as fast as we could, and we have removed the tools for innovation from the key innovators themselves: farmers. Using his experience with the open-source OpenWeedLocator for DIY weed recognition and the WeedAI platform for image data sharing, Guy will discuss how transforming our approach to an open-source model, will benefit companies, farmers, and the future of food production.
Join the AI and ML enthusiasts who have already become members
The goal of the AI, Machine Learning, and Computer Vision Meetup network is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies. If that’s you, we invite you to join the Meetup closest to your timezone.