Walltie Object Detection Dataset and Pre-Trained Model by WedgePin

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Explore Dataset

Here are a few use cases for this project:

Construction Quality Control: The Walltie model can be used in construction and building projects to automate quality control. It can quickly identify the type and position of wallties in building structures, ensuring they meet architectural plans and building standards.
Archaeological Studies: The model can be used in archaeological studies to identify the types of wallties used in different periods, helping researchers understand construction methods and the evolution of architectural technology.
Training AI in Virtual Reality: This model can be used to train other artificial intelligence systems in virtual reality (VR) environments related to construction or architectural exploration, enhancing their ability to recognize different types of wallties.
Home Inspection: Walltie can be used in tools helping home inspectors identify different types of wallties, ensuring the structural safety and integrity of a building.
Real Estate Evaluation: This model can be used as part of a real estate evaluation tool to recognise the type and condition of wallties in a property, which could impact the property's structural quality and thus its market value.

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{
                            walltie_dataset,
                            title = { Walltie Dataset },
                            type = { Open Source Dataset },
                            author = { WedgePin },
                            howpublished = { \url{ https://universe.roboflow.com/wedgepin/walltie } },
                            url = { https://universe.roboflow.com/wedgepin/walltie },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-05-05 },
                            }