How AI Is Helping Animal Conservation | AI at Meta

Why It Matters

Making high-quality, annotated wildlife video data and powerful AI models publicly available lowers barriers for conservation analytics, enabling faster detection of population declines, creation of biodiversity credits, and better-informed policy and resource allocation. This could materially improve conservation outcomes by scaling monitoring and turning observational data into actionable insights.

Summary

Meta and Conservation X Labs are deploying advanced AI — including SAM 3 and CM3 — to automate identification and behavioral monitoring of wildlife in camera-trap videos, enabling precise individual-level tracking rather than simple bounding boxes. The partners will release an open dataset of 12,000 annotated videos covering more than 100 species to accelerate model development and benchmarking. This combination of foundational vision models and public data promises scalable, cross-environment tools for tracking populations and detecting changes linked to threats like climate change. Conservation X Labs says the technology will dramatically improve accuracy and speed of conservation monitoring and research.

Original Description

SAM 3’s ability to precisely detect and track objects is helping Conservation X Labs measure the survival of animal species around the world and prevent their extinction.

🔗 Learn more about the work: https://ai.meta.com/blog/segment-anything-conservation-x-wildlife-monitoring/?utm_source=youtube&utm_medium=organic_social&utm_content=video&utm_campaign=sam

We partnered with Conservation X Labs to build the SA-FARI dataset with 10,000+ annotated videos including over 100 species of animals. We’re sharing this dataset to help with conservation efforts around the globe.

🔗 Find it here: https://www.conservationxlabs.com/sa-fari

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