This workshop teaches the concepts and skills needed to write automated processing pipelines for image data. Using examples from morphometrics, the curriculum covers the steps of a typical image processing workflow: loading images, masking, blurring and thresholding data, and ends with a capstone challenge to provide a chance for additional practice. The curriculum uses a variety of example images that do not require any domain-specific knowledge. However, it does require learners to have gained some familiarity with the Python programming language, such as by attending a Software Carpentry workshop, a Data Carpentry: Ecology or a Data Carpentry: Social Sciences workshop.