peoples Computer Vision Project

Dmitriy

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Traffic and Pedestrian Monitoring System: The "peoples" model can be used to monitor traffic flow and pedestrian movements in urban areas, enabling city authorities to gather data for better city planning and traffic management.

  2. Smart Parking Solutions: The model can aid in the development of smart parking systems, identifying available parking spaces and providing real-time information to drivers, thus reducing congestion and improving the parking experience.

  3. Advanced Driver Assistance Systems (ADAS): The "peoples" model can be incorporated into ADAS to enhance safety features like pedestrian detection, collision warnings, and adaptive cruise control, helping drivers avoid accidents and improving overall road safety.

  4. Surveillance and Security Applications: The model can be used in surveillance systems to detect and track cars and persons, allowing for improved crowd management, crime prevention, and public safety in public spaces like shopping centers, stadiums, and transportation hubs.

  5. Autonomous Vehicle Development: The "peoples" model can contribute to the development of self-driving cars, providing critical information on road users' positions and movements, enabling smoother and safer navigation for the vehicle.

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{
                            peoples-tayp9_dataset,
                            title = { peoples Dataset },
                            type = { Open Source Dataset },
                            author = { Dmitriy },
                            howpublished = { \url{ https://universe.roboflow.com/dmitriy-hjjkm/peoples-tayp9 } },
                            url = { https://universe.roboflow.com/dmitriy-hjjkm/peoples-tayp9 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-09-22 },
                            }
                        
                    

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