vehicle-detection Computer Vision Project

bsmlhskom

Updated 3 months ago

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Description

Here are a few use cases for this project:

  1. Traffic Monitoring: The "vehicle-detection" model can be used to develop intelligent traffic control systems. It can detect and identify vehicles on roads in real-time to facilitate traffic flow management, reduce congestion, and forecast traffic patterns.

  2. Parking Management: This model can be deployed in parking areas for identification and recording vehicles entering and leaving. It could help optimize parking space utilization and automate the process of parking management.

  3. Security Surveillance Systems: The model can be instrumental in hardening security by identifying unauthorized or suspicious vehicles within private property or sensitive areas.

  4. Autonomous Driving Solutions: The vehicle-detection model can contribute to developing autonomous driving systems by detecting motorcycles and cars in a vehicle's vicinity, assisting the AI in making driving decisions.

  5. Traffic Law Enforcement: Authorities can use this model to automatically spot violations like illegal parking, unregistered vehicles, or even detect stolen cars based for better law enforcement.

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{
                            vehicle-detection-i66s2-is5gk_dataset,
                            title = { vehicle-detection Dataset },
                            type = { Open Source Dataset },
                            author = { bsmlhskom },
                            howpublished = { \url{ https://universe.roboflow.com/bsmlhskom/vehicle-detection-i66s2-is5gk } },
                            url = { https://universe.roboflow.com/bsmlhskom/vehicle-detection-i66s2-is5gk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-23 },
                            }