phuong_tien_VN_yolov5 Computer Vision Project

Thao

Updated 3 years ago

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connguoi
phuongtien
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xebuyt
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xecon
xecontainer
xecuuhoa
xecuuthuong
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xedien
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xemay
xetai
Description

Here are a few use cases for this project:

  1. Traffic Monitoring System: This model could be deployed in traffic monitoring systems to identify different types of vehicles and pedestrians. The system could report real-time traffic congestion, track law violations, or monitor unusual activities on roads, such as illegal parking.

  2. Accident Detection and Reporting: In case of road accidents, the model can be crucial in detecting the type of vehicles involved and determining the number of pedestrians present during the incident. This can help authorities respond in a more informed and efficient manner.

  3. Infrastructure Planning: City planners and traffic engineers could use the data collected through this model to understand the distribution and flow of different types of vehicles and human traffic. This information could help make informed decisions on designing, improving, or upgrading infrastructures like roads, bridges, and traffic lights.

  4. Public Transport Management: Transport authorities can use this model to monitor the number and types of public transport vehicles (like buses or taxis) on the road at any given moment. The data can be further analyzed to improve public transport routes, schedules, and vehicle types.

  5. Retail Store Surveillance: In a retail setting, the model could be used to monitor customer behavior, specifically outside the store. By identifying the types of vehicles used by customers, and whether they're walking or cycling, retail stores could improve their services to better cater to their customers' needs.

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{
                            phuong_tien_vn_yolov5_dataset,
                            title = { phuong_tien_VN_yolov5 Dataset },
                            type = { Open Source Dataset },
                            author = { Thao },
                            howpublished = { \url{ https://universe.roboflow.com/thao-mgtw5/phuong_tien_vn_yolov5 } },
                            url = { https://universe.roboflow.com/thao-mgtw5/phuong_tien_vn_yolov5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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