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DER - Detecção de Patologias - PE045 Computer Vision Project

TPF2

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Object Detection Model
Classes (26)
''
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

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Description

Here are a few use cases for this project:

  1. Infrastructure Maintenance and Repair: This model could be used by public works departments or private companies to identify and classify damages and necessary repairs on roads and other infrastructures. This would allow them to prioritize and schedule repairs more efficiently.

  2. Damage Assessment for Insurance Companies: Insurance companies could use this to automatically analyse pictures of road conditions after accidents or natural disasters, classify the damages, and estimate repair costs.

  3. Urban Planning and Development: City planners could use this model to evaluate the state of current infrastructures like roads and pavements, making data-driven decisions on where to focus development efforts.

  4. Autonomous Vehicle Navigation: Autonomous vehicles could utilize this model to identify and navigate around any road abnormalities, improving safety and efficiency.

  5. Civil Engineering Education: This model could be used as a teaching tool in civil engineering courses, helping students to understand and identify different types of road damages and necessary repairs.

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            der-deteccao-de-patologias-pe045-nrthr_dataset,
                            title = { DER - Detecção de Patologias - PE045 Dataset },
                            type = { Open Source Dataset },
                            author = { TPF2 },
                            howpublished = { \url{ https://universe.roboflow.com/tpf2/der-deteccao-de-patologias-pe045-nrthr } },
                            url = { https://universe.roboflow.com/tpf2/der-deteccao-de-patologias-pe045-nrthr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-11-13 },
                            }

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