Google announces SpeciesNet, an AI model to identify animal species

Google has open sourced an AI model, SpeciesNet, designed to identify animal species by analyzing photos from camera traps.

What is SpeciesNet?

SpeciesNet, trained on 65M+ images, offers 2,000+ labels like 'mammalia,' 'felidae,' and non-animal categories such as vehicles.

How it will help us?

SpeciesNet AI model aids developers, academics, and startups in scaling biodiversity monitoring in natural areas.

How to use SpeciesNet?

SpeciesNet is available on GitHub under an Apache 2.0 license, meaning it can be used commercially largely sans restrictions.

When it was launched?

However, SpeciesNet is not a new AI model release and has been used by experts for years.

Since 2019, Wildlife Insights, powered by SpeciesNet, has helped thousands of biologists streamline biodiversity monitoring and guide conservation efforts.

Who are the Competitors?

It’s worth noting that Google’s isn’t the only open source tool for automating the analysis of camera trap images.

Microsoft’s AI for Good Lab maintains PyTorch Wildlife, an AI framework that offers pre-trained models fine-tuned for animal detection and classification.