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Traffic Computer Vision Project

joseva

Updated 2 years ago

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Tags
Object Detection
Classes (50)
ANIMALS CONSTRUCTION
CYCLES CROSSING
DANGER NO ENTRY PEDESTRIAN CROSSING PEDESTRIAN CROSSING
Road Shoulder
SCHOOL CROSSING
SNOW STOP bend
bend left
bend right
give way
go left
go left or straight
go right
go right or straight
go straight
keep left
keep right
no
no overtaking
no overtaking (trucks)
no overtaking trucks
no traffic both ways
no trucks
priority at next intersection
priority road
restriction ends
restriction ends (overtaking (trucks))
restriction ends (overtaking)
restriction ends 80
restriction ends overtaking
restriction ends overtaking trucks
road narrows
roundabout slippery road
speed limit 100
speed limit 120
speed limit 20
speed limit 30
speed limit 40
speed limit 50
speed limit 60
speed limit 70
speed limit 80
traffic signal
uneven road
Description

Here are a few use cases for this project:

  1. Self-Driving Vehicles System: This model can be implemented in autonomous vehicles technology to identify traffic signs and signals, thus enabling the vehicle to make intelligent and safety-compliant decisions as per road conditions.

  2. Smart Traffic Management: The model can be used in urban planning and traffic management systems to analyze, comprehend, and report traffic indications in real-time, aiding in better road traffic control and congestion avoidance.

  3. Driving Assistance Applications: There is potential to integrate this model into GPS navigation systems or dedicated driving assistance applications. These apps could provide real-time traffic rule alerts to drivers, enhancing safety and rule adherence.

  4. Road Condition Analysis: Use the model to collect road condition data based on signs for construction, slippery road, uneven road, etc. This critical information could support road maintenance planning by relevant authorities.

  5. Traffic Rule Training Software: This model can be used in developing training software for beginner drivers or trucking companies. The software could explain and demonstrate various traffic rules, greatly improving the quality of road safety education.

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{
                            traffic-kyalq_dataset,
                            title = { Traffic Dataset },
                            type = { Open Source Dataset },
                            author = { joseva },
                            howpublished = { \url{ https://universe.roboflow.com/joseva/traffic-kyalq } },
                            url = { https://universe.roboflow.com/joseva/traffic-kyalq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-09-22 },
                            }

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