traficreal Computer Vision Project

dfasdfdfasdf

Updated 4 months ago

Classes (45)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Fit (black edges))
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 138 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on May 7, 2023 at 1:46 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Traffic support - v2 2023-05-07 3:07pm
Traffic-support are annotated in YOLOv8 format.
bicycle bus car dog
give precedence sign
give-precedence-sign
left line
left-line
no-access-sign
no-parking-sign
one way sign
one-way-sign
pedestrian crossing
pedestrian crossing sign
pedestrian-crossing
pedestrian-crossing-sign
pedestrian-warning
person
right line
right-line
speed-limit-50
stop-sign traffic light traffic-light tree truck
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

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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{
                            traficreal_dataset,
                            title = { traficreal Dataset },
                            type = { Open Source Dataset },
                            author = { dfasdfdfasdf },
                            howpublished = { \url{ https://universe.roboflow.com/dfasdfdfasdf/traficreal } },
                            url = { https://universe.roboflow.com/dfasdfdfasdf/traficreal },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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