Figure 1.

Data curation and dataset evaluation pipeline adopted by OPIA. The pipeline includes three critical steps. First, publications and datasets corresponding labels file are integrated from publicly available repositories. Then the information of all images and labels are filtered and extracted by the python scripts, and the meta-information of all datasets are manual curated from the publications. Third, all datasets are assigned an evaluation score based on ten indicators.