Pasadas FE Computer Vision Project

unq

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Description

Here are a few use cases for this project:

  1. Traffic Management System: 'Pasadas FE' can be used to improve traffic control and management by identifying the types of vehicles on the road. This information can help in designing traffic rules and optimizing traffic signals according to the types and volume of vehicles.

  2. Surveillance and Security: It can be used in security cameras and surveillance systems for real-time tracking of the types of vehicles moving in specific areas. For instance, it could alert officials in restricted areas where certain types of vehicles are not allowed.

  3. Automotive Industry Research: Researchers and manufacturers in the automotive sector can use the model to analyze the popularity and usage of certain types of vehicles in certain areas, which may inform future product development or strategies.

  4. Smart Parking Solutions: The model can find use in advanced parking systems, where it can categorize parked vehicles, optimize parking space allocation, or assist in locating unauthorized parked vehicles.

  5. Transportation and Logistics: Logistics companies can implement 'Pasadas FE' to monitor and manage their vehicle fleet automatically, enhancing operational efficiency by tracking vehicle types and their use.

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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{
                            pasadas-fe_dataset,
                            title = { Pasadas FE Dataset },
                            type = { Open Source Dataset },
                            author = { unq },
                            howpublished = { \url{ https://universe.roboflow.com/unq/pasadas-fe } },
                            url = { https://universe.roboflow.com/unq/pasadas-fe },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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