4th NOAA Workshop on Leveraging AI in Environmental Sciences has ended
The interactive workshop will be a virtual event to build collaboration and initiate the active development of AI-powered applications and community standards.

We invite developers, data scientists, domain experts, social scientists, and downstream users to form small teams around different use cases that are relevant to three themes relevant to NOAA Mission Areas: Fire Weather and Impacts, AI for Ocean Conservation, and Interoperable Digital Twin Earth.

All information about workshop logistics can be found in the handbook for participants.

If you encounter issues registering for the workshop, please contact ai.workshop@noaa.gov.
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Thursday, September 8 • 11:30am - 1:00pm
Ocean Science and Conservation Tutorial – TagLab - the learning pipeline

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T2. TagLab - the learning pipeline – Massimiliano Corsini & Gaia Pavoni (Italian National Research Council)

Over the past decade, underwater photogrammetry has become one of the most popular tools for studying coral reefs. Coral demographic studies require the generation of highly accurate semantic segmentations on large area orthoimages (ten to hundreds of square meters). This heavily time-consuming task forces scientists to adopt AI-based labelling solutions. TagLab is an open-source labelling tool designed for ecological applications TagLab enables researchers to annotate efficiently large orthoimages and facilitates the analysis of changes in coral reef ecosystems. In this tutorial we will focus on how to use the assisted annotation tools in TagLab to speed up the semantic segmentation of seafloor and, in particular, on how to create automatic custom classifiers for the data under investigation.


Massimiliano Corsini

Senior researcher, CNR - National Research Council
I am one of the developer of TagLab, an Open Source AI-based tool for marine ecology applications.
avatar for Gaia Pavoni

Gaia Pavoni

Research Scientist, CNR - National Research Council
I'm the architect of TagLab, an Open Source AI-based tool for marine ecology applications.

Thursday September 8, 2022 11:30am - 1:00pm MDT
Virtual - Zoom