Flow chart detection Computer Vision Project

Object Detection

Updated a year ago

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Classes (19)
action
activity
commeent
control_flow
control_flowcontrol_flow
decision_node
exit_node
final_flow_node
final_node
fork
merge
merge_noode
null
object
object_flow
signal_recept
signal_send
start_node
text

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-11-21 },
                            }