connor_bedard 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{
                            connor_bedard_dataset,
                            title = { connor_bedard Dataset },
                            type = { Open Source Dataset },
                            author = { MG Squad 1 },
                            howpublished = { \url{ https://universe.roboflow.com/mg-squad-1/connor_bedard } },
                            url = { https://universe.roboflow.com/mg-squad-1/connor_bedard },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-07-27 },
                            }
                        

Connect Your Model With Program Logic

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

Source

MG Squad 1

Last Updated

2 years ago

Project Type

Object Detection

Subject

connor-bedard

Views: 5

Views in previous 30 days: 5

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

bad_pass bedard blue_line bottom breakout byfield contested_carry controlled_entry dead_zone defender exit faceoff_circle forecheck good_pass lateral_pass_lane left low_likelihood_shot middle moment_of_shot net_front neutral_zone_defense offense open_lane pass pk_collapse prevented_shot puck puck_carrier red_line right rush slot top two_qb_left uncontested_entry wall_on_blue_line xg+