Bradley University

TFT Detect Position

Object Detection

TFT Detect Position 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{
                            tft-detect-position_dataset,
                            title = { TFT Detect Position Dataset },
                            type = { Open Source Dataset },
                            author = { Bradley University },
                            howpublished = { \url{ https://universe.roboflow.com/bradley-university-tfmr7/tft-detect-position } },
                            url = { https://universe.roboflow.com/bradley-university-tfmr7/tft-detect-position },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

a month ago

Project Type

Object Detection

Subject

tft-lol

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License

CC BY 4.0

Classes

Ahri AkaliKDA AkaliTrueDamage Amumu Annie Aphelios Artifact Bard Base_Item Blitzcrank Caitlyn Champion_Duplicator Combined_Item Corki Ekko Emblem Evelynn Ezreal Garen Gnar Gragas Illaoi Jax Jhin Jinx KSante Kaisa Karthus Katarina Kayle Kayn Kennen Lillia Lucian Lulu Lux Magnetic_Remover MissFortune Mordekaiser Nami Neeko Olaf Pantheon Poppy Qiyana Random_Item Reforger Riven Samira Senna Seraphine Sett Sona Support_Item TahmKench Target_Dummy Taric Thresh TwistedFate Twitch Urgot Vex Vi Viego Yasuo Yone Yorick Zac Zed Ziggs