AI4DBP - Picterra - A codeless deep learning interface to segment and count objects
Channel: Food and Agriculture Organization of the United Nations
Date: 06/09/2021

Monitoring of progress for the SDGs at a global scale using an agile platform which enables users to codelessly train deep learning models to count visible objects harnessing an ecosystem of innovation applicable for the identification and counting of fish species. Presented by Roger Fong of the Picterra Team. 

longer term vision for our platform: to enable the monitoring of progress towards SDGs at a global scale using the power of earth observation imagery, machine learning and an ecosystem of innovation. "Platform architecture and data systems", which sits at the intersection of machine learning and geospatial imagery. We can showcase our platform and its ability to allow you to codelessly train deep learning models to segment and count visible objects, as well as some of our work in progress that could be applicable to identification of fish species. 

Website at; www.picterra.ch



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