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Two Wheeler Lane Detection Computer Vision Project
TRY THIS MODEL
Drop an image or
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.
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