Deteccão_fixacoes_trilhos Computer Vision Project

TrilhosObjectDetection

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Classes (55)
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Baseplaterotation
Braids
CES
Corrugation
Defectives fastener
Falta_Grampo
Falta_Parafuso
Fisplates
Grampo
Jump
Marquage
Missing Nuts
Placa
Placa_Contratrilho
Placa_Deslizante
Placa_Gêmea
Placa_Gêmea_sem_grampo
Seal
Soudure
Spalling
Squat
Surface Defect
Tirefon
Tirefond_Faltante
Wheel Burn
braid
clip
defective_fastener
eclip_break
fastener
fastener_broken
fishplate
gr
marquage
missing
missing_nut
rail_crack
rail_screw_break
seal
soudure
spike
splice_bar
splice_bar_x
trackbed_stuff

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Description

Here are a few use cases for this project:

  1. Railway Track Maintenance: This model can be used by railway departments to inspect railway tracks, detect any irregularities such as broken fasteners, missing nuts, rail cracks, spalling etc. This automated inspection can help in proactive maintenance, ensuring safety and operational efficiency of the railway system.

  2. Infrastructure Assessment Tools Development: Companies developing infrastructure assessment tools can incorporate this model to analyze the condition of railway tracks. This will provide their customers with detailed reports regarding the integrity of the track system, the presence of any defects, and when maintenance or repairs may be required.

  3. Development of Autonomous Trains: This model could be used in the development of autonomous trains, aiding the on-board AI systems in identifying potential issues with the tracks in real-time. This could serve as a critical part of the safety system, stopping the train before reaching a faulty part of track if a problem is detected.

  4. Training AI Models for Other Transport Infrastructure: For research and development teams working on AI models to detect infrastructure problems in other transport modes, this model could serve as a valuable learning tool about what to look for, how to interpret what's being seen, and how to classify various issues.

  5. Educational Purpose: Curriculum designers or educators teaching about railway system maintenance could use this tool to demonstrate real-world practices relating to system inspection, defect identification, and troubleshooting. Given the variety of defects it can detect, this model could serve as a comprehensive educational resource.

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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{
                            deteccao_fixacoes_trilhos_dataset,
                            title = { Deteccão_fixacoes_trilhos Dataset },
                            type = { Open Source Dataset },
                            author = { TrilhosObjectDetection },
                            howpublished = { \url{ https://universe.roboflow.com/trilhosobjectdetection/deteccao_fixacoes_trilhos } },
                            url = { https://universe.roboflow.com/trilhosobjectdetection/deteccao_fixacoes_trilhos },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-12-12 },
                            }
                        
                    

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