I developed a tool that aimed to streamline the annotation process for chart corpora in SVG elements, enabling efficient automation of data extraction.
Common data on the format, scope, collection method, annotations, and diversity of SVG charts were collected to automate visualization patterns from key features in SVG elements.
I wrote a Python script to convert a static webpage into an HTTP backend server that serves files, handles GET requests, and processes POST requests to save JSON data to files.
This acted as a save feature by exporting and reloading specific annotation variables to the HTTP server.