What is RB-IBDM?

RB-IBDM is an open-source machine learning project tailored for the DIOPSIS camera systems and ARISE algorithms, dedicated to Insect Biodiversity Detection and Monitoring in the Netherlands.

How does it work?

RB-IBDM's models are trained to accurately detect and segment insects from complex backgrounds. This collection of trained ML models boosts the precision and efficiency of biodiversity monitoring algorithms, particularly in scenarios with diverse backgrounds that attract insects.

Technologies Used

Python, PyTorch, Hugging Face Transformers, OpenCV, and more. RB-IBDM algorithms are designed to be easily integrated into existing DIOPSIS and ARISE algorithms, providing a seamless experience for researchers and developers.