Senior_proj Object Detection Dataset and Pre-Trained Model by ProjectDetectRoad

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Explore Dataset

Here are a few use cases for this project:

Infrastructure Maintenance: Utilize the "Senior_proj" computer vision model to monitor and assess the conditions of road surfaces, bridges, or building exteriors, helping to identify areas with scaling or patching issues. This can aid local authorities and professionals in making informed decisions about prioritization and allocation of resources for repairs.
Historical Site Preservation: Apply the model to photographs or video footage documenting important historical sites, allowing conservators and archaeologists to track the progression of surface deterioration, including scaling or patching, over time. By identifying these issues early, teams can preserve and restore these valuable landmarks more effectively.
Construction Quality Control: Implement the "Senior_proj" model in the construction industry to automatically detect surface defects such as scaling or patching on newly installed concrete or masonry surfaces. This will improve quality control processes and ensure that projects are built according to prescribed standards.
Art Conservation: Use the model to examine and analyze the surfaces of valuable works of art or cultural heritage objects, identifying areas with scaling or patching that require attention from conservators. This could help preservationists determine appropriate treatment plans for the restoration of the artwork.
Maritime Industry: Incorporate the "Senior_proj" model into the inspection of ships and other marine vessels, identifying surface defects such as scaling and patching on their hulls or other critical structures. Early detection of these issues can lead to timely repairs, preventing further damage and potentially reducing costs associated with maintenance and repair.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            senior_proj_dataset,
                            title = { Senior_proj Dataset },
                            type = { Open Source Dataset },
                            author = { ProjectDetectRoad },
                            howpublished = { \url{ https://universe.roboflow.com/projectdetectroad/senior_proj } },
                            url = { https://universe.roboflow.com/projectdetectroad/senior_proj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-29 },
                            }