Purdue University

MSE Walls

Instance Segmentation

MSE Walls Computer Vision Project

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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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            mse-walls_dataset,
                            title = { MSE Walls Dataset },
                            type = { Open Source Dataset },
                            author = { Purdue University },
                            howpublished = { \url{ https://universe.roboflow.com/purdue-university-bxkcy/mse-walls } },
                            url = { https://universe.roboflow.com/purdue-university-bxkcy/mse-walls },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }
                        

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Find utilities and guides to help you start using the MSE Walls project in your project.

Last Updated

11 days ago

Project Type

Instance Segmentation

Subject

MSE-Wall-Panels

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License

CC BY 4.0