Roboflow Universe UMARV Lane Detection Real-World Dataset

Lane Detection Real-World Dataset Computer Vision Project

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UMARV Real-World Lane Detection Dataset

The UMARV lane detection dataset consists of 1920 16:9 images of simulated lane lines recorded in the parking lot across from the FRB. We believe this can be used with transfer learning and potentially semi-supervised methods with unlabeled frames to create a more effective (and hopefully efficient) lane detection model.

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{
                            lane-detection-real-world-dataset_dataset,
                            title = { Lane Detection Real-World Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { UMARV },
                            howpublished = { \url{ https://universe.roboflow.com/umarv-o8thl/lane-detection-real-world-dataset } },
                            url = { https://universe.roboflow.com/umarv-o8thl/lane-detection-real-world-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-28 },
                            }