Pingul

Damaged Buildings

Object Detection

Damaged Buildings 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{
                            damaged-buildings_dataset,
                            title = { Damaged Buildings Dataset },
                            type = { Open Source Dataset },
                            author = { Pingul },
                            howpublished = { \url{ https://universe.roboflow.com/pingul/damaged-buildings } },
                            url = { https://universe.roboflow.com/pingul/damaged-buildings },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Damaged Buildings project in your project.

Source

Pingul

Last Updated

a month ago

Project Type

Object Detection

Subject

Buildings-commercial-residential

Views: 62

Views in previous 30 days: 16

Downloads: 25

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

damagedcommercialbuilding damagedresidentialbuilding undamagedcommercialbuilding undamagedresidentialbuilding