Data from: phenopype: A phenotyping pipeline for Python

www.phenopype.org What is phenopype? phenopype is a Python package to rapidly extract high dimensional phenotypic data from digital images. At the core, phenopype provides a project management ecosystem for large image datasets, signal processing based segmentation and data extraction routines, and the possibility to export the processed data in various formats - e.g. for direct analysis (csv - e.g. landmarks, coordinates, etc.), or for further processing in other machine learning pipelines (json - e.g. segmentation masks). Why phenopype phenopype is aiming to augment, rather than replace the utility of existing CV low level libraries for scientists who want to extract phenotypic data from images. Put differently, phenopype does not intend to be an exhaustive library of granular image processing functions, like OpenCV, scikit-image or ImageJ, but instead, it is a set of wrappers and convenient management tools to allow biologists to get their data fast without having to fiddle with too much code. Who uses phenopype? phenopype is intended for ecologists and evolutionary biologists with "laboratory grade" images, which, for example, contain specimens that have been photographed against a standardized background. It is also useful for anyone interested in building a robust training dataset for deep learning models: with phenopype segmentation masks can be created semi-automatically (instead of annotating the images by hand), and, in the process, phenotypic data can already by extracted and evaluated