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DeepDP is a multi-level convolutional neural network based on the U-Net architecture. Its primary goal is to process binary (black and white) images of hand-drawn diagrams and output a map that identifies each pixel as: : Written words or labels.

If you are looking for tools that generate structured diagrams directly from "deep" text descriptions or prompts, several AI-powered platforms automate this process: diagram

: Graphical elements like boxes, circles, and connectors. Background : Empty space on the page. DeepDP is a multi-level convolutional neural network based

Deep handwritten diagram segmentation - IET Journals - Wiley Background : Empty space on the page

The model exists in different levels of complexity, such as , DeepDP-5 , and DeepDP-7 , which vary in the number of convolutional layers and "depth" used to extract features. Modern Alternatives for Text-to-Diagram