Accessible AI for Wildlife Image Classification Project Receives a Google Grant

Author(s): Tadeusz Bara-Slupski

Originally published on Towards AI.

Human activity has put enormous pressure on natural habitats across the world. Many species are finding it difficult to survive in the era of climate change and environmental degradation. Biodiversity conservation practitioners and researchers are working to alleviate and reverse these processes through monitoring and protecting wild species. Increasingly they utilize cutting edge technologies to support and streamline their work. Camera traps have become a ubiquitous tool for these purposes, and now machine learning offers further advancements by exponentially increasing the speed of wildlife image classification.

As part of Appsilon Data Science’s AI for Good initiative, we were given the opportunity… Read the full blog for free on Medium.

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Published via Towards AI