damage classification Computer Vision Project

Suprava Priyadarshini

Updated 3 years ago

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Classes (11)
aligator crack
bump
constructional joint
cross walk blur
lateral crack
linear crack
longitudinal crack
pothole
rutting
wheel mark part
white line blur
Description

Here are a few use cases for this project:

  1. Highway and Road Maintenance: This model can be used by public works departments or highways agencies to automate the process of identifying road damages and planning necessary repairs. Drone or street view image data can be utilized to scan large road networks quickly and effectively.

  2. Transportation Safety: The model can provide real-time analysis of road conditions for navigation apps and autonomous vehicles. Identifying damages such as potholes, construction joints, and cracks can help in suggesting safer routes or avoiding accidents.

  3. Infrastructure Assessment: The model can analyze aerial or satellite imagery to monitor the health of infrastructure over time, including roads, bridges or airports. The identified patterns and severity of damages can be used to prioritize areas for maintenance.

  4. Insurance Claim Processing: Insurance companies can use this model to assess the validity of claims related to road or vehicle damage. By identifying the type of road damage, companies can expedite claim processes and make accurate payout decisions.

  5. Urban Planning & Development: City planners can use the data provided by the model to make informed decisions about urban construction and development, considering the current state of existing infrastructure when planning new projects or renewals.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            damage-classification-wt2us_dataset,
                            title = { damage classification Dataset },
                            type = { Open Source Dataset },
                            author = { Suprava Priyadarshini },
                            howpublished = { \url{ https://universe.roboflow.com/suprava-priyadarshini/damage-classification-wt2us } },
                            url = { https://universe.roboflow.com/suprava-priyadarshini/damage-classification-wt2us },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-12-18 },
                            }