Building Interactive Applications for Image Data

Explore the world of interactive image processing applications in this 29-minute PyCon US talk by Emmanuelle Gouillart. Discover how to leverage open-source Python packages to create powerful tools for tasks such as medical imaging quantification and machine learning model training. Learn to combine Dash, an open-source framework for building interactive analytical web applications, with scikit-image, a popular library for processing 2D and 3D images as Numpy numerical arrays. Gain insights into constructing custom analytical applications using Dash's interactive components, including plotly visualizations, data tables, dropdowns, and sliders. Delve into techniques for interacting with image data within Dash, from exploring image characteristics to annotating images with various shapes. Understand how to integrate advanced algorithms from scikit-image and other machine learning tools to process user-provided annotations. By the end of this talk, you'll be equipped to create sophisticated image processing applications that combine user interactivity with powerful data science capabilities.