Lesson plan
TagLab
TagLab is an interactive open source software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. TagLab can automatically extract statistical informations about the evolution of monitored species and it segments large images using CNN-based algorithms. TagLab used also for the monitoring of the health of coral reefs, in order to quantify over large orthophotos of the seabed the extent of coral bleaching events. Notable users of TagLab are MOTE Marine Laboratory, the Hawaiʻi Institute of Marine Biology, National Oceanic and Atmospheric Administration, and Scripps Institution of Oceanography. TagLab is listed as one of the main tools for the standard operating procedures for the use of large-area imaging in tropical shallow water coral reef monitoring, research, and restoration. TagLab has won the 2023 VRVis Visual Computing Award for being "an open-source software solution that mitigates technological disparities between labs and promotes shared data standards and protocols".
Article summary
TagLab is an interactive open source software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. TagLab can automatically extract statistical informations about the evolution of monitored species and it segments large images using CNN-based algorithms. TagLab used also for the monitoring of the health of coral reefs, in order to quantify over large orthophotos of the seabed the extent of coral bleaching events. Notable users of TagLab are MOTE Marine Laboratory, the Hawaiʻi Institute of Marine Biology, National Oceanic and Atmospheric Administration, and Scripps Institution of Oceanography. TagLab is listed as one of the main tools for the standard operating procedures for the use of large-area imaging in tropical shallow water coral reef monitoring, research, and restoration. TagLab has won the 2023 VRVis Visual Computing Award for being "an open-source software solution that mitigates technological disparities between labs and promotes shared data standards and protocols".
Key claims
No claims recorded.
Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.