DetTrack18MB Computer Vision Project

Thesis

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Description

Here are a few use cases for this project:

  1. Traffic Monitoring: DetTrack18MB can be used for real-time traffic monitoring to identify types, volume, and flow of cars. This can help traffic control centres in managing, predicting and reducing congestion.

  2. Autonomous Driving: The model can be integrated within self-driving car systems for vehicle detection and tracking, playing a crucial role in navigation, safety, and decision-making processes.

  3. Parking Management: The model can help in automating car park management systems, accurately identifying and guiding cars to available spaces, tracking occupancy, and preventing unauthorized parking.

  4. Surveillance and Security: By detecting and distinguishing car classes, the model can enhance security in sensitive areas or private properties, detecting any unusual or unauthorized car presence.

  5. Retail and Advertising Research: Companies can use this model to analyze the types of cars that frequent certain areas or businesses, helping them better target their advertising and marketing strategies.

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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{
                            dettrack18mb_dataset,
                            title = { DetTrack18MB Dataset },
                            type = { Open Source Dataset },
                            author = { Thesis },
                            howpublished = { \url{ https://universe.roboflow.com/thesis-s9ojf/dettrack18mb } },
                            url = { https://universe.roboflow.com/thesis-s9ojf/dettrack18mb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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