Nathan Kim

Fencing segmentation

Instance Segmentation

Fencing segmentation 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.

Cite This Project

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

@misc{
                            fencing-segmentation_dataset,
                            title = { Fencing segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Nathan Kim },
                            howpublished = { \url{ https://universe.roboflow.com/nathan-kim-jippc/fencing-segmentation } },
                            url = { https://universe.roboflow.com/nathan-kim-jippc/fencing-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-05-09 },
                            }
                        

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Source

Nathan Kim

Last Updated

4 months ago

Project Type

Instance Segmentation

Subject

fencers

Views: 28

Views in previous 30 days: 2

Downloads: 3

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

left fencer lower body no touch light (left) no touch light (right) right fencer strip successful fleche (left) successful fleche light (left) successful lung (left) successful lunge (right) successful lunge light (left) successful lunge light (right) touch light (right) u unsuccessful fleche (left) unsuccessful fleche light (left) unsuccessful lunge (left) unsuccessful lunge (right) unsuccessful lunge light (left) unsuccessful lunge light (right) upper body