Dataset 1 (segmentation) Computer Vision Project

Tese

Updated a year ago

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Classes (4)
Crack
Dent or Scratch
Missing Bolt
Paint-off
Description

Here are a few use cases for this project:

  1. Aircraft Maintenance and Safety Checks: This computer vision model could be used for conducting routine inspections of aircrafts for potential damages such as dents, scratches, or missing bolts. It could help eliminate human error and allow for much more detailed and accurate assessments.

  2. Auto Repair and Inspection: The model could come in handy in auto repair shops to automate the process of identifying specific car damages. It can be employed for both pre and post-service inspection, ensuring that all missing bolts are replaced and dents repaired.

  3. Quality Assurance in Painting Industries: Industries that deal with painting can apply this model to ensure quality in their painting process. The vision model can detect any paint-off from the object, notifying potential flaws that need correcting.

  4. Automated Industrial Inspection: This model could be utilized in various industries during production, ensuring machines, and equipment are properly installed and not damaged. This could help mitigate potential accidents or operational disruptions in the manufacturing line.

  5. Railway and Infrastructure Maintenance: The model can have its use in maintaining the safety of bridges, railways, and other constructed infrastructure by identifying any cracks, scratches or wear. This preemptive measure might prevent potential catastrophes caused by such infrastructure failures.

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{
                            dataset-1-segmentation_dataset,
                            title = { Dataset 1 (segmentation) Dataset },
                            type = { Open Source Dataset },
                            author = { Tese },
                            howpublished = { \url{ https://universe.roboflow.com/tese-s64ix/dataset-1-segmentation } },
                            url = { https://universe.roboflow.com/tese-s64ix/dataset-1-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }