DER - Detecção de Patologias - PE045 Computer Vision Project

TPF

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Classes (25)
F- AFUNDAMENTO
F- CORRUGACOES
F- DESGASTE
F- ESCORREGAMENTOS
F- EXSUDACAO
F- ONDULACAO
F- PANELAS
F- REMENDOS
F-TRINCA BLOCO
F-TRINCA CORO JACARE
F-TRINCA ISOLADA
R-ALCAMENTO DE PALCA
R-BOMBEAMENTO
R-DEFEITO SELAGEM DAS JUNTAS
R-DEGRAU DEJUNTAS
R-DESGASTE SUPERFICIAL
R-DESNIVEL NO ACOSTAMETNO
R-FISSURA DE CANTO
R-FISSURA ISOLADA
R-GRANDES REPAROS
R-PASSAGEM DE NIVEL
R-PEQUENOS REPAROS
R-PLACAS DIVIDIDAS
R-QUEBRA DE CANTO
R-QUEBRAS LOCALIZADAS
Description

Here are a few use cases for this project:

  1. Infrastructure Management: The model can be used by city planners and urban development authorities to identify and monitor road conditions in real-time. This can help in proactively fixing issues before they become bigger problems, thereby creating safer and smoother roads for all users.

  2. Automotive Safety: Autonomous vehicle manufacturers can use the model to identify common road defects as part of their vehicle's safety systems. This can help the vehicle navigate more safely and avoid accidents caused by such road conditions.

  3. Transportation and Logistics: Companies involved in logistics and transportation can analyse road conditions in real-time to plan their routes more efficiently and avoid areas with potential safety issues. This can lead to decreased delivery times and a reduction in vehicular damage.

  4. Surveying and Mapping: The model can be used by geographers, surveyors, and cartographers to include detailed data about road conditions as part of their mapping or surveying work. This additional information can augment maps and provide greater context to users.

  5. Insurance: Insurance companies can use this model to assess road conditions when investigating claims related to road accidents. This can help evaluate if poor road conditions may have contributed to the accident and resolve claims more accurately.

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{
                            der-deteccao-de-patologias-pe045_dataset,
                            title = { DER - Detecção de Patologias - PE045 Dataset },
                            type = { Open Source Dataset },
                            author = { TPF },
                            howpublished = { \url{ https://universe.roboflow.com/tpf-ojgi9/der-deteccao-de-patologias-pe045 } },
                            url = { https://universe.roboflow.com/tpf-ojgi9/der-deteccao-de-patologias-pe045 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-09-27 },
                            }
                        
                    

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