Name: DF2 493.7-426.2 Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Civil Engineering: The model can be used by civil engineers and government agencies in order to conduct road infrastructure analysis and assessments. It could be helpful to determine the quality of the roads in specific locations, and plan proactive repair or maintenance.
Road Safety and Car Insurance: Car insurance companies can leverage this model to gain insights about the road conditions where accidents frequently occur. This information can be critical when setting insurance premiums, by accurately predicting accident probabilities based on road condition.
Autonomous Vehicles: The model can be integrated into autonomous vehicles' systems to identify potential hazards on the road surfaces, contributing towards more secure and dependable driver-less technology.
Construction Companies: Construction companies can use the model to inspect the quality of their pavement work, identify defects, and ensure they meet industry standards.
Urban Planning: In city or urban planning, this model can help in monitoring and analyzing road conditions across the city or district, providing data that contributes to making informed decisions about development and maintenance scheduling.

Cite This Project

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

@misc{
                            df2-493.7-426.2_dataset,
                            title = { DF2 493.7-426.2 Dataset },
                            type = { Open Source Dataset },
                            author = { BAHIA BR116 DF2 },
                            howpublished = { \url{ https://universe.roboflow.com/bahia-br116-df2/df2-493.7-426.2 } },
                            url = { https://universe.roboflow.com/bahia-br116-df2/df2-493.7-426.2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-19 },
                            }