Artificial Intelligence (AI) tool developed by Microsoft is making waves in wildlife conservation, helping researchers in Tanzania identify and protect endangered giraffes with remarkable precision.
Dubbed GIRAFFE (Generalized Image-based Re-Identification using AI for Fauna Feature Extraction), the open-source technology was unveiled by Juan Lavista Ferres, Corporate Vice President and Chief Data Scientist of Microsoft’s AI for Good Lab, in a blog post titled Big Data for Big Animals: How AI Is Helping Save Tanzania’s Endangered Giraffes.
The innovative AI system uses image recognition to distinguish individual giraffes based on their unique spot patterns achieving over 90 percent accuracy. The technology is helping conservationists track population trends and make informed decisions to protect the iconic animals, which are facing increasing threats from habitat loss and poaching.
For over a decade, Microsoft’s AI for Good Lab has partnered with the Wild Nature Institute to support the Masai Giraffe Conservation Project in Tanzania. This long-term collaboration is helping to reverse population declines by providing conservationists with data-driven insights into giraffe movements, behavior, and threats.
What sets GIRAFFE apart is its accessibility and scalability. Now available on GitHub, the tool is designed to be user-friendly, enabling field researchers and scientists to use it without any coding expertise.
Furthermore, the technology’s adaptability means it can be applied to other animals with distinct visual identifiers such as zebras, tigers, and whale sharks, expanding its potential impact far beyond East Africa.
As Africa grapples with the dual challenges of biodiversity loss and climate change, tools like GIRAFFE are offering new hope for preserving endangered species blending the power of AI with conservation science to protect wildlife for generations to come.
