Doctornow

Wound_annotation

Object Detection

Wound_annotation Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

1 images
Explore Dataset

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{
                            wound_annotation-yjgbh_dataset,
                            title = { Wound_annotation Dataset },
                            type = { Open Source Dataset },
                            author = { Doctornow },
                            howpublished = { \url{ https://universe.roboflow.com/doctornow-ckeh8/wound_annotation-yjgbh } },
                            url = { https://universe.roboflow.com/doctornow-ckeh8/wound_annotation-yjgbh },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-26 },
                            }
                        

Connect Your Model With Program Logic

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

Source

Doctornow

Last Updated

2 years ago

Project Type

Object Detection

Subject

wound-type

Views: 7

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Chronic ulcer full thickness serosanguinous