A workshop for Colombian and Ecuadorian researchers, scientists, and students
We will involve local researchers, scientists, and students in the development of the course materials and the workshop.
We will share best practices for working with ecological sensors and machine learning tools.
We will share all course materials online under open source licenses.
We will bring together researchers, scientists, and students to share knowledge and collaborate on projects.
Artificial intelligence can predict the location, abundance and behavior of biodiversity within imagery at unprecedented scales.
Using label studio, we will review detection, classification and segmentation tasks.
We will review how to record and manage machine learning research using comet-ml and github.
Processing camera trap data with deep learning using MegaDetector
Capturing biodiversity data with audio recorders (Ulloa et al. 2024)
Monitoring large areas with airborne remote sensing
This workshop is organized by the Weecology Lab at the University of Florida, the University of Antioquia, and Universidad Central, Colombia