DeepFaune software released for species recognition in camera trap images

A collaborative project, hundreds of thousands of images and artificial intelligence to develop an automatic recognition tool for animal species in France

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A team composed of LBBE engineers (Vincent Miele and Bruno Spataro) and CEFE researchers (Simon Chamaillé-Jammes and Noa Rigoudy) has developed software in the form of a graphical user interface (GUI) for automatic recognition of French terrestrial fauna on images from photographic traps. This software is based on Deep Learning techniques and on a database of nearly 500,000 images annotated by numerous partners. Version 0.2 is now available to the general public. More information on: