MCR LTER: Coral Reef: Computer Vision: Multi-annotator Comparison of Coral Photo Quadrat Analysis

This repository contains the Moorea portion of a larger data package published in conjuncture with: "Towards automated annotation of benthic survey images: variability of human experts and operational modes of automation", Beijbom et al. PLOS One, 2015. The rest of the data package is hosted at the Dryad data repository (doi:10.5061/dryad.m5pr3). The larger data package is an aggregate dataset from four Pacific coral reef monitoring projects in: Moorea (French Polynesia), the northern Line Islands, Nanwan Bay (Taiwan) and Heron Reef (Australia). It contains 5090 coral reef survey images, and 251,988 random-point annotations by coral ecology experts. The point-annotations indicate the dominant benthic substrate at 10 to 200 random point locations per image, using a label-set of 20 categories. In addition, 200 images from each location have been cross-annotated by 6 experts, for a total of 7 sets of annotations for each image. This set of cross-annotations can be used to contextualize the performance of automated annotation methods for coral reef ecology. The full data package can also be used by computer-vision and machine learning researchers to develop object classification, image segmentation, and domain transfer learning methods. These data contain a subset of the raw data from which dataset knb-lter-mcr.4 is derived.