Tunnel detection Computer Vision Project

algorab

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Description

Tunnel detection

This dataset is designed for use on an embedded device equipped with YOLOv5 and the NPU capabilities of the iMX8-Plus chip. It primarily focuses on the "tunnel" class, with additional "vehicle" and "sign" classes to enhance classification accuracy. The "tunnel" class encompasses various shapes, including rectangular and round, and covers scenarios from highways to urban environments. Notably, the dataset includes critical nighttime, low-light, and diverse weather conditions to ensure robust performance across different scenarios.

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LICENSE

CC BY 4.0

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

                        @misc{
                            tunnel-detection_dataset,
                            title = { Tunnel detection Dataset },
                            type = { Open Source Dataset },
                            author = { algorab },
                            howpublished = { \url{ https://universe.roboflow.com/algorab/tunnel-detection } },
                            url = { https://universe.roboflow.com/algorab/tunnel-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-12 },
                            }