From Australian Oceans Data Network
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Machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History

Created 23/06/2025

Updated 23/06/2025

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A machine learning pipeline was developed to measure three key indicators of coral juvenile fitness rapidly and accurately: survival, size, and colour. Two substrates were used to classify pixels through a machine learning image analysis pipeline to quickly identify and measure coral juveniles: a) field deployed terracotta tiles -1200 images with three different time point in the field -deployed at Davies reef in the Great Barrier Reef for a year-long experiment (see Quigley et.al) b) laboratory-maintained PVC plastic slides. -900 slides with images taken at 12 time points in the laboratory Both substrates used coral juveniles from the species Acropora tenuis within the first year of life. For both sets of images, measurements were taken manually for proof of study. Size was calibrated using the scale bar present in each image. Colour of juveniles was assessed using the CoralWatch Health Chart and was matched to the closest score on the “D” scale by a single person to minimise observer bias. Survival of juveniles was classified by eye as either alive or dead. Machine learning image analysis pipeline was developed for measuring coral survival, size, and colour. Assessment of manual vs. pipeline calculations of coral juvenile colour, size and survival, as well as time comparison between manual vrs pipeline measurements, were carried out. Further details are presented in the publication Macadam et al. (2021).

Files and APIs

Additional Info

Field Value
Title Machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/79f56c02-16df-4529-b193-e938b3b23570
Contact Point
Australian Ocean Data Network
reception@aims.gov.au
Reference Period 10/11/2021
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    147.6495,
    -18.8217
  ],
  "type": "Point"
}
Data Portal Australian Oceans Data Network

Data Source

This dataset was originally found on Australian Oceans Data Network "Machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History". Please visit the source to access the original metadata of the dataset:
https://catalogue.aodn.org.au/geonetwork/srv/eng/csw/dataset/machine-learning-for-the-fast-and-accurate-assessment-of-fitness-in-coral-early-life-history