Cyberspotters Machine Learning System

A machine learning system that can isolate potential illegal wildife trade products for sale on online marketplaces. Current training data is on ivory, pangolin, wild cat teeth and claws, elephant hair and skin. The system is housed at WWF Singapore and is part of the Cyber Spotters initiative. Data extrapolated from this system gets forwarded to law enforcement (if deemed serious), to e-commerce companies (for their records) and kept internally to be used as references for potential future action i.e. demand reduction initiatives, digital deterrent.

AI Guardian 2.0

AI Guardian 2.0 uses a customized model created by PaddleX, a development tool for the PaddlePaddle platform. The tool uses internet technology to enable the comprehensive management of illegal wildlife trade on the Internet and to make wildlife protection more efficient. The tool adopts the latest large vision model (LVM) and was trained jointly by the International Fund for Animal Welfare (IFAW) and Baidu PaddlePaddle through semi-supervised learning. The model will be upgraded regularly to incorporate the latest technology development and will expand the number and variety of species covered to keep up with latest trends in wildlife cybercrime.

Picture Guide to Illegal Wildlife Parts & Products Commonly Found in Southeast Asia

This pocket guide was produced for quick identification of wildlife parts and products commonly sold in markets in Southeast Asia.

Wildscan

App to combat illegal wildlife trade across Asia and West Africa. It was designed to help frontline enforcement agencies, private sector employees, and the general public correctly identify, report, and handle animals and plants frequently caught in the illegal wildlife trade. WildScan hosts a comprehensive library containing information on over 600 endangered species and illegal wildlife products. The app’s identification wizard component poses four simple questions to assist users in identifying the appropriate species. It is expanding to be used globally.

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