TagLab

TagLab is an interactive <a href="/facts/Open_source/7X9rCdz4">open source</a> software system for facilitating the precise annotation of <a href="/facts/Benthos/DeHzh0sN">benthic</a> species in <a href="/facts/Orthophoto/hVucWyEE">orthophoto</a> of the bottom of the sea. TagLab can automatically extract statistical informations about the evolution of monitored species and it <a href="/facts/Image_segmentation/jofAhbxa">segments large images</a> using <a href="/facts/Convolutional_neural_network/kHEdnmGU">CNN</a>-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 <a href="/facts/Coral_bleaching/LVNHFp9A">coral bleaching</a> events.
Notable users of TagLab are <a href="/facts/Mote_Marine_Laboratory/QA7RkdSN">MOTE Marine Laboratory</a>, the <a href="/facts/Hawai%25CA%25BBi_Institute_of_Marine_Biology/Rgf83bpI">Hawaiʻi Institute of Marine Biology</a>, <a href="/facts/National_Oceanic_and_Atmospheric_Administration/IvcuqNJg">National Oceanic and Atmospheric Administration</a>, and <a href="/facts/Scripps_Institution_of_Oceanography/WJX2h16Y">Scripps Institution of Oceanography</a>.
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 <a href="/facts/VRVis/dGyIDXjH">VRVis</a> Visual Computing Award for being "an open-source software solution that mitigates technological disparities between labs and promotes shared data standards and protocols".

TagLab open-in-new

TagLab