Im2graph

im2graph: Open-Source Python Library for Image Graph Extraction

Extract graphs and networks from images with im2graph, an open-source Python library leveraging computer vision and graph neural networks.

What is Im2graph?

im2graph is an open-source Python library developed by IBM that can automatically extract graphs and networks from images. It utilizes advances in computer vision, using object detection and segmentation models, as well as graph neural networks to analyze the content of images and identify nodes and edges to construct networks and graphs.

The key capability of im2graph is to take an image (such as a photo of a whiteboard with bubbles and arrows) as input and output a graph that represents the concepts and relationships conveyed visually in that image. This allows the textual and relational knowledge contained in images to be translated into a structured graph format that can then be utilized for downstream analytics and visualization.

Some potential use cases for im2graph include:

• Extracting process flows and diagrams from images and converting them to executable workflow graphs
• Identifying conceptual relationships in research figures and diagrams to construct knowledge graphs
• Building datasets for graph-based deep learning algorithms by using images as input

As an open-source library, im2graph enables further research and applications in extracting knowledge and insights from images through automatically constructed graphs. The code is available on GitHub under an Apache 2.0 license.

Im2graph Features

Official Links