Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation

Clicks: 398
ID: 269723
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #363 of 2,056 articles by views in PloS one

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 2,056 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Global climate change and other anthropogenic stressors have heightened the need to rapidly characterize ecological changes in marine benthic communities across large scales. Digital photography enables rapid collection of survey images to meet this need, but the subsequent image annotation is typic …
Reference Key
o2015plostowards Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Beijbom O;Edmunds PJ;Roelfsema C;Smith J;Kline DI;Neal BP;Dunlap MJ;Moriarty V;Fan TY;Tan CJ;Chan S;Treibitz T;Gamst A;Mitchell BG;Kriegman D;;
Journal PloS one
Year 2015
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/26154157
Keywords
image processing National Center for Biotechnology Information NCBI NLM MEDLINE animals humans pubmed abstract nih national institutes of health national library of medicine models statistical reproducibility of results research support non-u.s. gov't algorithms Comparative Study environmental monitoring / methods* computer-assisted / methods* observer variation pattern recognition climate change ecosystem pmid:26154157 pmc4496057 doi:10.1371/journal.pone.0130312 oscar beijbom peter j edmunds david kriegman anthozoa coral reefs* automated* seaweed / physiology*

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.