Cars Computer Vision Project

ATC

Updated 2 years ago

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Classes (9)
bus car
mini van
other
pickup
rigid truck
rigid truck with trailer
tractor with trailer
van
Description

Here are a few use cases for this project:

  1. Traffic Monitoring: The "Cars" model can be used by traffic management authorities for real-time detection and classification of vehicles on roads to regulate traffic flow, identify traffic congestion, rush hours and enforce vehicular laws.

  2. Automobile Industry: Manufacturers and retailers can use the model to identify different types of vehicles and their models in photographs, helping categorize diverse inventories.

  3. Parking Management: The model can be applied in parking lots to identify the type of vehicle for automatic parking entry/exit sessions, allocating parking spaces based on the vehicle classification, and ensuring appropriate parking fees.

  4. Transportation and Logistics: Freight companies can utilize the model to distinguish between various types of company vehicles, streamlining inventory, and logistics operations.

  5. Surveillance and Security: The model can be utilized in surveillance systems to monitor the type of passing vehicles around sensitive areas, aiding in security checks and enforcement of restrictions.

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{
                            cars-uxmmt_dataset,
                            title = { Cars Dataset },
                            type = { Open Source Dataset },
                            author = { ATC },
                            howpublished = { \url{ https://universe.roboflow.com/atc-jyo9h/cars-uxmmt } },
                            url = { https://universe.roboflow.com/atc-jyo9h/cars-uxmmt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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