Flow chart detection Object Detection Dataset and Pre-Trained Model by Object Detection

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Here are a few use cases for this project:

Education and Online Learning: "Flow chart detection" can be used to digitize flow charts in textbooks, workbooks, or other educational materials. It could allow students and educators to interact with, manipulate, and understand complex processes in a more dynamic and accessible way.
Software Development: This model can greatly assist software developers in understanding and documenting code flows. By automatically detecting and categorizing nodes in a flowchart, the model could translate complex software design patterns into understandable diagrams.
Enterprise Workflow Analysis: The model could be used to automatically detect and categorize process flow diagrams or charts within business documentation. This would aid in understanding and optimizing operational processes, thus improving efficiency.
Healthcare Process Mapping: In the medical field, process maps and flow charts are often employed to understand patient journeys and treatment protocols. This model could help healthcare providers digitize and enhance these charts for better patient care.
Legal Process Documentation: Legal proceedings and legislation often involve complex process maps. By using the "Flow chart detection" model, these processes could be digitized and made searchable, allowing legal professionals to better understand and navigate complex legal procedures.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            flow-chart-detection_dataset,
                            title = { Flow chart detection Dataset },
                            type = { Open Source Dataset },
                            author = { Object Detection },
                            howpublished = { \url{ https://universe.roboflow.com/object-detection-gol2i/flow-chart-detection } },
                            url = { https://universe.roboflow.com/object-detection-gol2i/flow-chart-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-29 },
                            }