Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images

Understand

Due to deteriorating environmental conditions and increasing human activity, conservation efforts directed towards wildlife is crucial.

• Motion-activated camera traps constitute an efficient tool for tracking and monitoring wildlife populations across the globe.
• Supervised learning techniques have been successfully deployed to analyze such imagery, however training such techniques requires annotations from experts.
• Reducing the reliance on costly labelled data therefore has immense potential in developing large-scale wildlife tracking solutions with markedly less human labor.