3-treinamento(2treinamento+pe07) Computer Vision Project

TPF

Updated a year ago

74

views

7

downloads
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 Monitoring and Maintenance: This model can be employed to automatically identify specific structure damage or deformations like cracks, wear and tear, etc., in buildings or other infrastructure. This would enable timely maintenance and reduce possible hazards.

  2. Railway Safety: The model can be used to identify isolated cracks, abrasions, fractures, and other defects in the rail tracks or trains. Early detection and repair of these issues can prevent derailments and other catastrophic failures.

  3. Road Quality Assessment: The model could be useful for municipalities or road construction companies who want to survey the condition of their roads. Specific issues like potholes, cracks, warping, etc., could be automatically identified to assist with maintenance planning.

  4. Construction Quality Control: The model can be used in the construction industry for quality assessments. By automatically identifying isolated cracks, breakages, or surface wear and tear, the model can help enforce strict quality standards.

  5. Bridge Safety Inspection: Highway departments could use this model for automated inspection of bridges. Identifying cracks, wear, or uneven surfaces could help prevent structural failures and improve public safety.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            3-treinamento-2treinamento-pe07_dataset,
                            title = { 3-treinamento(2treinamento+pe07) Dataset },
                            type = { Open Source Dataset },
                            author = { TPF },
                            howpublished = { \url{ https://universe.roboflow.com/tpf-ojgi9/3-treinamento-2treinamento-pe07 } },
                            url = { https://universe.roboflow.com/tpf-ojgi9/3-treinamento-2treinamento-pe07 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

Similar Projects

See More