guardrail_ditection3 Computer Vision Project

Asano

Updated 2 years ago

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Classes (5)
guard_for_bridge
guard_pipe
guardrail
guardrail_rust
vertical-fence

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Description

Here are a few use cases for this project:

  1. Infrastructure Assessment: The model can be used for assessing the state and maintenance requirements of public infrastructure such as bridges, highways, and roads.

  2. Traffic Safety: The model can assist in traffic safety by identifying rusted or damaged guardrails that need immediate repair to prevent accidents.

  3. Road Mapping: It can be used by mapping services to provide detailed and accurate maps, including the presence and condition of guardrails and other road indicators.

  4. Construction Site Monitoring: The model can be applied in construction sites to monitor and verify the correct installation and maintenance of guard systems like guard pipes, vertical fences, and bridge guards.

  5. Autonomous Vehicles: The model can be integrated into autonomous driving systems to help vehicles recognize guardrails, enhancing the safety of the vehicle's driving systems.

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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{
                            guardrail_ditection3_dataset,
                            title = { guardrail_ditection3 Dataset },
                            type = { Open Source Dataset },
                            author = { Asano },
                            howpublished = { \url{ https://universe.roboflow.com/asano-ytoe5/guardrail_ditection3 } },
                            url = { https://universe.roboflow.com/asano-ytoe5/guardrail_ditection3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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