Smart City 404 Computer Vision Project

Prince Sultan University

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Urban Maintenance and Cleanup: City officials and maintenance crews can use Smart City 404 to prioritize areas that need attention, by identifying locations with high levels of graffiti, garbage, and cluttered sidewalks. This will help improve the cleanliness and aesthetics of the city.

  2. Infrastructure Repair and Management: The model can help public works departments identify and track the repair status of potholes, unkept facades, broken signages, faded signages, and bad streetlights. By automating the identification process, city workers can effectively manage infrastructure repair and maintenance tasks.

  3. Enhancing Public Safety: By identifying hazardous conditions such as sand on the road or construction zones, Smart City 404 can aid traffic management departments and emergency services to reduce the risk of accidents and improve overall safety conditions.

  4. Advertisement and Signage Regulation: Smart City 404 can be employed to monitor and enforce advertisement regulations, by detecting bad billboards and signages that do not comply with city guidelines. This can ensure a harmonious visual environment and help maintain aesthetic standards in public spaces.

  5. Data-driven City Planning: Urban planners and decision-makers can use insights generated by Smart City 404 to develop data-driven strategies for city development, understanding where improvements are needed most, and evaluating the impact of past and ongoing projects in real-time. This can lead to better-targeted investments and more effective use of resources.

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{
                            smart-city-404_dataset,
                            title = { Smart City 404 Dataset },
                            type = { Open Source Dataset },
                            author = { Prince Sultan University },
                            howpublished = { \url{ https://universe.roboflow.com/prince-sultan-university/smart-city-404 } },
                            url = { https://universe.roboflow.com/prince-sultan-university/smart-city-404 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-21 },
                            }