arnavrawat

Two Wheeler Lane Detection

Object Detection

Roboflow Universe arnavrawat Two Wheeler Lane Detection
1

Two Wheeler Lane Detection Computer Vision Project

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Images

193 images
Explore Dataset

Index: 0 - front 1 - rear

Usecase:

  • To detect if the two wheeler is driving in the correct lane (either towards the camers - front, or away from camera - rear)

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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            two-wheeler-lane-detection_dataset,
                            title = { Two Wheeler Lane Detection Dataset },
                            type = { Open Source Dataset },
                            author = { arnavrawat },
                            howpublished = { \url{ https://universe.roboflow.com/arnavrawat/two-wheeler-lane-detection } },
                            url = { https://universe.roboflow.com/arnavrawat/two-wheeler-lane-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-05-08 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Two Wheeler Lane Detection project in your project.

Source

arnavrawat

Last Updated

4 months ago

Project Type

Object Detection

Subject

-helmet-plate-tw-front-back-cAya

Views: 103

Views in previous 30 days: 16

Downloads: 5

Downloads in previous 30 days: 0

License

Public Domain

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