traffic Computer Vision Project

Traffic2

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==============================
Barrier-Ahead
Cattle
Caution
Cycle-Crossing
Dangerous-Dip
Eating-Place
Falling-Rocks
Ferry
First-Aid-Post
For state of the art Computer Vision training notebooks you can use with this dataset,
Give-Way
Horn-Prohibited
Hospital
Hump
Left-Hair-Pin-Bend
Left-Reverse-Bend
Left-hand-curve
Light-Refreshment
Men-at-Work
Narrow-Bridge
Narrow-road-ahead
No-Parking
No-Stopping
No-Thorough-Road
No-Thorough-SideRoad
Parking-Lot-Cars
Parking-Lot-Cycle
Parking-Lot-Scooter-and-MotorCycle
Parking-This-side
Pedestrian-Crossing
Pedestrian-Prohibited
Petrol-Pump--Gas-Station
Public-Telephone
Resting-Place
Right-Hair-Pin-Bend
Right-Hand-Curve
Right-Reverse-Bend
Road-Wideness-Ahead
Roboflow is an end-to-end computer vision platform that helps you
Round-About
School-Ahead
Slippery-Road
Speed-Limit--10-
Speed-Limit--100-
Speed-Limit--110-
Speed-Limit--120-
Speed-Limit--130-
Speed-Limit--140-
Speed-Limit--150-
Speed-Limit--160-
Speed-Limit--20-
Speed-Limit--25-
Speed-Limit--35-
Speed-Limit--45-
Speed-Limit--48-
Speed-Limit--5-
Speed-Limit--50-
Speed-Limit--55-
Speed-Limit--60-
Speed-Limit--65-
Speed-Limit--70-
Speed-Limit--75-
Speed-Limit--8-
Speed-Limit--80-
Speed-Limit--90-
Speed-Limit-3
Speed-Limit-30
Speed-limit--15-
Speed-limit--40-
Steep-Ascent
Steep-Desecnt
Stop
Straight-Prohibitor-No-Entry
The dataset includes 9199 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on March 5, 2024 at 6:35 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Traffic-sign are annotated in YOLOv9 format.
traffic sign - v1 2023-12-23 2:51pm
visit https://github.com/roboflow/notebooks
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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-vzwaq_dataset,
                            title = { traffic Dataset },
                            type = { Open Source Dataset },
                            author = { Traffic2 },
                            howpublished = { \url{ https://universe.roboflow.com/traffic2-x6dux/traffic-vzwaq } },
                            url = { https://universe.roboflow.com/traffic2-x6dux/traffic-vzwaq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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