[Webinar] Leverage the growing wave of ecological data using AI image recognition
Camera traps and other autonomous sensors are generating more wildlife data than ever before. For researchers and conservation practitioners, this creates enormous potential to extract valuable information, but manually sorting through such datasets is often too time- and resource-intensive.
Artificial Intelligence can speed up this work by automatically classifying large volumes of information in minutes. Yet AI is not perfect: miss-classifications can easily distort downstream ecological insights if not handled correctly.
Join our webinar to learn how to apply AI carefully in your research. You will discover:
- How to run and evaluate AI models on your own ecological data
- How to reduce the impact of classification errors on your analyses
- A practical workflow for fitting species occupancy models using AI-generated labels from a real camera trap dataset
Designed for ecologists and biodiversity scientists seeking efficient and reliable ways to process sensor-derived data. Learn how to transform raw data into trustworthy ecological knowledge.
*** IMPORTANT: This webinar will take place at 1 pm CET ***
Speaker: Timm Haucke
Language: English
REGISTER HERE
Photo: CC by Larry Lamsa