Test SD 150m Computer Vision Project

SmartDrones

Updated a year ago

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Classes (8)
Car Ford
KamaZ
KamaZ_2
Kamaz
Person Truck
other

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Description

Here are a few use cases for this project:

  1. Vehicle Classification: This model can be used to develop a system for automated vehicle recognition at toll booths, parking spaces, or construction sites. It can help to categorize different types of vehicles, such as cars, trucks, and specific models like Ford or Kamaz.

  2. Traffic Monitoring: It could be used in urban planning or law enforcement for monitoring traffic patterns in cities. Authorities could use the data to understand the frequency and types of vehicles passing through certain areas to improve traffic flow.

  3. Benchmarking and Improvement of Autonomous Vehicles: "Test SD 150m" can be employed to test or improve other computer vision or autonomous vehicle machine learning models given its ability to distinguish between car classes and humans.

  4. Surveillance and Security: This model could also be used to enhance security in sensitive or restricted areas by recognizing unauthorized vehicle types or models.

  5. Accident Reconstruction: This AI-powered tool can be used in accident reconstructions to identify the classes of vehicles involved. This can aid insurance companies, legal experts, and law enforcement in making informed decisions based on the specific circumstances of a traffic accident.

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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{
                            test-sd-150m_dataset,
                            title = { Test SD 150m Dataset },
                            type = { Open Source Dataset },
                            author = { SmartDrones },
                            howpublished = { \url{ https://universe.roboflow.com/smartdrones/test-sd-150m } },
                            url = { https://universe.roboflow.com/smartdrones/test-sd-150m },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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