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ReefNetAI user guide

Practical guidance—from organizing field imagery to reviewing and exporting AI-assisted analysis.

New to ReefNetAI?

Follow one complete workflow in about ten minutes. You will create the fieldwork structure, add source data, choose an analysis, and check the result before export.

Start the quick guide

Find the right workflow

01 Organize fieldwork Projects, surveys, sites, visits, and imagery

02 Bring in CoralNet data Import images, points, labels, and provenance

03 Classify points Estimate cover with generated or imported points

04 Segment imagery Create and review benthic regions and masks

  1. Create the scientific context — project, survey, site, and visit.
  2. Add source data — upload images or attach a CoralNet dataset snapshot.
  3. Choose the analysis — point classification, segmentation, or a source classifier.
  4. Review the evidence — verify counts, uncertain outputs, labels, and provenance.
  5. Export deliberately — preserve the original export and document exclusions.

Platform overview

ReefNetAI dashboard showing projects, jobs, sites, and the monitoring map Open full-size dashboard screenshot

The dashboard summarizes accessible projects, jobs, sites, and recent activity. You can also go directly to any workflow from the main product navigation.

AI assists; experts decide

A completed processing job is not the same as a validated ecological result. Review outputs against the original imagery and your study protocol before analysis or publication.