Traffic signs detection Computer Vision Project

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Classes (50)
Bad road surface
Cattle on the road.
Children
Children Walking
Crossing for pedestrians
Crossroad side roads on the left and right
Crossroad with a side road on the left
Crossroad with side road on the right.
Curve to the right
Danger with no specific traffic sign.
Deer on the road or unsafe for animal
Dip in the road
Double Curve
Falling rocks
Give away
Give way
Limited height
Loose chippings on the road surface
Low-flying aircrafts.
Narrowing on the left
Narrowing on the left.
Narrowing on the right
No overtaking
Quayside or riverban
Railroad crossing with barriers
Railroad crossing without barriers
Rickshaw Roundabout.
Slippery road surface
Soft verge
Speed bump
Speed limit 20
Speed limit 30
Speed limit 40
Speed limit 50
Speed limit 60
Steep ascent
Stop
Stop and give way
T-crossroad
Traffic Ligits
Two roads that merge
Two way traffic
U-turn
Warning for a railroad crossing with more thRailroad crossing with more than 1 railway
Working on roads
Y-crossroad
crossroad where the roads are not opposite to each other
curve to the left.
pedestrians

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LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            traffic-signs-detection-cqcub_dataset,
                            title = { Traffic signs detection Dataset },
                            type = { Open Source Dataset },
                            author = { Rangamati Science and Technology University },
                            howpublished = { \url{ https://universe.roboflow.com/rangamati-science-and-technology-university-5fshf/traffic-signs-detection-cqcub } },
                            url = { https://universe.roboflow.com/rangamati-science-and-technology-university-5fshf/traffic-signs-detection-cqcub },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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