NSIT

YoloV8 Segmentation

Object Detection

Roboflow Universe NSIT YoloV8 Segmentation

YoloV8 Segmentation Computer Vision Project

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Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            yolov8-segmentation-5cmku_dataset,
                            title = { YoloV8 Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { NSIT },
                            howpublished = { \url{ https://universe.roboflow.com/nsit-ls8wt/yolov8-segmentation-5cmku } },
                            url = { https://universe.roboflow.com/nsit-ls8wt/yolov8-segmentation-5cmku },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-14 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the YoloV8 Segmentation project in your project.

Source

NSIT

Last Updated

a year ago

Project Type

Object Detection

Subject

Traffic-Signs

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Downloads: 4

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Cycle Zone Danger Ahead Deer Zone End of Right Road -Go straight- Give Way Go Left or Straight Go Right or Straight Go Straight Huddle Road Left Curve Ahead Left Sharp Curve No Entry No Over Taking No Over Taking Trucks No Stopping No Waiting Pedestrian Right Curve Ahead Right Sharp Curve Road Work RoundAbout Slippery Road Snow Warning Sign Speed Limit 100 Speed Limit 120 Speed Limit 20 Speed Limit 30 Speed Limit 50 Speed Limit 60 Speed Limit 70 Speed Limit 80 Stop Traffic Signals Ahead Truck Sign Turn Left Turn Right