Lane Detection Real-World Dataset Computer Vision Project

UMARV

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Description

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.

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CC BY 4.0

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 2024-11-24 },
                            }