game Object Detection Dataset and Pre-Trained Model by lxue Xue

Images

1856 images

Explore Dataset

Here are a few use cases for this project:

Game Character Customization: Utilize the "game" computer vision model to recognize and differentiate between player characters in video games for customization purposes. Users can select various outfits, skins or colors for their Hero, Hero Red, and Hero Blue characters based on the identification of game classes.
In-Game Advertising and Sponsorships: The model can assist game developers and marketers in identifying specific game characters for dynamic in-game advertising or targeted sponsorships, by determining whether the character on screen is Hero, Hero Red, or Hero Blue.
eSports Analytics and Insights: Leverage the "game" model for real-time analytics and insights in the eSports industry by tracking each class of Hero on the screen during a live-streamed or recorded gaming session. This can help teams and coaches with monitoring character performance, gameplay strategies, and time management.
Accessibility Enhancements: Develop assistive technologies that utilize the model to narrate or describe scenes and characters to visually impaired gamers, by recognizing the Hero, Hero Red, and Hero Blue characters on screen during gameplay.
Content Filtering and Parental Controls: Implement content filtering and parental control mechanisms that can identify specific game classes and characters. Parents can use these features to filter or block games based on the presence of certain character classes like Hero, Hero Red, or Hero Blue to maintain age-appropriate gaming experiences.

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{
                            game-kfdts_dataset,
                            title = { game Dataset },
                            type = { Open Source Dataset },
                            author = { lxue Xue },
                            howpublished = { \url{ https://universe.roboflow.com/lxue-xue-cxrjf/game-kfdts } },
                            url = { https://universe.roboflow.com/lxue-xue-cxrjf/game-kfdts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-23 },
                            }