TagLab
{{Short description|Software for coral reef monitoring}}
{{Infobox software
| name = TagLab
| screenshot = TagLab screenshot V2023.10.29.MacOs.jpg
| caption = TagLab
| latest release version = 2024.10.29
| latest release date = {{Start date and age|2024|10|29}}{{cite web|url= https://github.com/cnr-isti-vclab/TagLab/releases/tag/v2024.10.29|title=TagLab release notes|publisher=Official GitHub repository|date=2024-10-29}}
| programming language = python
| operating system = Cross-platform
| genre = Graphics software
| license = GPL
| website = {{URL|taglab.isti.cnr.it}}
}}
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.{{cite journal |last1=Pavoni |first1=Gaia |last2=Corsini |first2=Massimiliano |last3=Ponchio |first3=Federico |last4=Muntoni |first4=Alessandro |last5=Edwards |first5=Clinton |last6=Pedersen |first6=Nicole |last7=Sandin |first7=Stuart |last8=Cignoni |first8=Paolo |date=2022 |title=TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages |journal=Journal of Field Robotics |volume=39 |issue=3 |pages=246–262 |doi=10.1002/rob.22049 |s2cid=244648241}}
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.{{Cite journal |last1=Kopecky |first1=Kai L. |last2=Pavoni |first2=Gaia |last3=Nocerino |first3=Erica |last4=Brooks |first4=Andrew J. |last5=Corsini |first5=Massimiliano |last6=Menna |first6=Fabio |last7=Gallagher |first7=Jordan P. |last8=Capra |first8=Alessandro |last9=Castagnetti |first9=Cristina |last10=Rossi |first10=Paolo |last11=Gruen |first11=Armin |last12=Neyer |first12=Fabian |last13=Muntoni |first13=Alessandro |last14=Ponchio |first14=Federico |last15=Cignoni |first15=Paolo |date= 18 August 2023 |title=Quantifying the Loss of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image Segmentation |journal=Remote Sensing |language=en |volume=15 |issue=16 |pages=4077 |doi=10.3390/rs15164077 |bibcode=2023RemS...15.4077K |issn=2072-4292 |doi-access=free |hdl=11380/1316375 |hdl-access=free }}
Notable users of TagLab are MOTE Marine Laboratory,{{Cite web |last=Combs |first=Ian |title=MOTE - Coral Reef Ecosystems Program |url=https://mote.org/research/internships/college-internship-program-overview/coral-reef-ecosystems-program}} the Hawaiʻi Institute of Marine Biology,{{Cite web |date=31 October 2016 |title=Hybrid Reef Coastal Erosion Project |url=https://coralreefecologylab.com/research/|archive-url=https://web.archive.org/web/20190511180501/https://coralreefecologylab.com/research/|url-status=usurped|archive-date=May 11, 2019}} National Oceanic and Atmospheric Administration,{{Cite journal |last1=Costa |first1=Bryan |last2=Sweeney |first2=Edward |last3=Mendez |first3=Arnold |date=October 2022 |title=Leveraging Artificial Intelligence to Annotate Marine Benthic Species and Habitats |journal=Noaa Technical Memorandum Nos Nccos |volume=306 |doi=10.25923/7kgv-ba52}} and Scripps Institution of Oceanography.{{Cite book |title=Population Dynamics of the Reef Crisis |publisher=Elsevier Science |year=2020 |isbn=9780128215302 |editor-last=Riegl |editor-first=Bernhard |pages=174–177}}
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.{{Cite journal |last=Sophie |first=Cook |last2=G. |first2=Rojano, Sarah |last3=B. |first3=Edwards, Clinton |last4=A. |first4=Bollinger, Michael |last5=Jordan |first5=Pierce |last6=Shay |first6=Viehman, T. |date=2023 |title=Standard operating procedures for the use of large-area imaging in tropical shallow water coral reef monitoring, research and restoration: Applications for Mission: Iconic Reefs restoration in the Florida Keys National Marine Sanctuary |url=https://doi.org/10.25923/w8h9-4z75 |language=en |doi=10.25923/w8h9-4z75}}
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".{{Cite web |title=Gaia Pavoni and Thomas Höllt win VRVis Visual Computing Award |url=https://www.vrvis.at/en/news-events/awards/gaia-pavoni-and-thomas-hoellt-win-vrvis-visual-computing-award}}