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.

本仓库包含了与论文《面向底栖调查图像的自动化标注：人类专家标注差异与自动化操作模式》（Beijbom 等，2015年发表于PLOS One，即《公共科学图书馆·综合》）联合发布的完整数据集套装中的莫雷阿岛（Moorea）部分。
该数据集套装的其余部分托管于Dryad数据仓储，其DOI为10.5061/dryad.m5pr3。
完整数据集套装整合了四项太平洋珊瑚礁监测项目的汇总数据，覆盖区域包括法属波利尼西亚的莫雷阿岛、莱恩群岛北部、中国台湾南湾以及澳大利亚赫伦礁。该数据集包含5090张珊瑚礁调查图像，以及由珊瑚生态领域专家完成的251988个随机点标注。每张图像会随机选取10至200个点进行标注，采用包含20个类别的标签集，用于标记该点处占主导地位的底栖基质。
此外，每个监测区域的200张图像已由6位专家完成交叉标注，每张图像总计拥有7套标注结果。这套交叉标注数据可用于评估自动化标注方法在珊瑚礁生态研究中的实际表现。完整数据集套装同时可供计算机视觉与机器学习研究者开发目标分类、图像分割以及域迁移学习相关方法。
本数据集源自数据集knb-lter-mcr.4的原始数据子集。