first Computer Vision Project

first

Updated 2 years ago

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Classes (7)
auto-rickshaw
bicycle bus car
lcv
person
two-wheeler
Description

Here are a few use cases for this project:

  1. Traffic Management Systems: Improve real-time traffic monitoring and control. The "first" model could be used to classify various vehicles and pedestrians, determining the flow and types of traffic, enabling optimized traffic signal timing, allowance of different vehicle types at certain times, and accident prevention mechanisms.

  2. Transportation Analytics: The data generated from the model can be used by urban planners and transportation departments for better city planning, understanding commuter patterns, bicycle usage rates, and public transport requirements.

  3. Autonomous Vehicle Development: Improve autonomous vehicle perception of other vehicles, cycles, and pedestrians. The "first" model can assist in enhancing decision-making algorithms of autonomous vehicles by correctly classifying various object classes.

  4. Security Surveillance: The model can be used in surveillance systems to identify and track the movement of specific vehicles or persons in designated areas like parking lots, public places, or restricted zones.

  5. Retail Industry: Retailers could use the model to understand parking needs based on the types of vehicles that frequent their locations. It could also be used to study pedestrian flow in and out of store entrances.

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{
                            first-uuor1_dataset,
                            title = { first Dataset },
                            type = { Open Source Dataset },
                            author = { first },
                            howpublished = { \url{ https://universe.roboflow.com/first-yejxj/first-uuor1 } },
                            url = { https://universe.roboflow.com/first-yejxj/first-uuor1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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