Sign images Computer Vision Project

NTU

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Autonomous Vehicle Navigation: This model could be used in AI systems for self-driving cars or drones, assisting in navigating roads by recognizing various signs and numbers accurately, for instance, direction indicators such as arrows or stop signs.

  2. Visual Assistance for the Visually Impaired: By identifying different signs and numbers, it could describe the surrounding world to a visually impaired person, thus make their life easier in understanding possible navigational challenges or nearby points of interest.

  3. Interactive Educational Tools: The model could be used in educational games or apps to teach kids about different signs and numbers, by identifying and explaining them in real-time.

  4. Augmented Reality Applications: In AR games or apps, the model could be used to identify real-world signs or numbers, which could then trigger certain events or rewards in the virtual AR world.

  5. Surveillance and Monitoring Systems: This model could be used in traffic surveillance to monitor and log traffic patterns, such as how often vehicles follow directional arrows or stop at stop signs, aiding in traffic management and planning.

Supervision

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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{
                            sign-images_dataset,
                            title = { Sign images Dataset },
                            type = { Open Source Dataset },
                            author = { NTU },
                            howpublished = { \url{ https://universe.roboflow.com/ntu-ojtxx/sign-images } },
                            url = { https://universe.roboflow.com/ntu-ojtxx/sign-images },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }