Pit of Heresy Computer Vision Project

personal

Updated 2 years ago

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Classes (8)
acs
boss
cursed loser
shield dude
shreek
sword man
thrawl
wizard
Description

Here are a few use cases for this project:

  1. Video Game Strategy Development: This model could be employed to analyze gameplay for creating strategy guides or tutorials. By understanding the types of mobs and their classes appearing during different stages of the game, players can be better prepared with the right tactics.

  2. Improved Gaming Assistance: The model could be integrated into gaming assistants to provide real-time advice to players, identifying types of mobs approaching and suggesting the most effective combat techniques or weapons to use against them.

  3. Gaming Montage Creation: By recognizing specific classes of mobs, streamers and video game content creators could more easily create montage videos for specific classes of mobs.

  4. Data Analytics for Game Designers: The model could be used as a tool to gather data about mob occurrences for game developers in the post-production feedback cycle. This in turn could lead to better game design, balance, and improve player engagement and satisfaction.

  5. In-Game Achievement Tracking: This model could help in tracking specific game achievements related to defeating certain types of mobs. This feature could then be integrated into the game's UI to provide players with real-time progress updates.

Supervision

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            pit-of-heresy_dataset,
                            title = { Pit of Heresy Dataset },
                            type = { Open Source Dataset },
                            author = { personal },
                            howpublished = { \url{ https://universe.roboflow.com/personal-0c5eb/pit-of-heresy } },
                            url = { https://universe.roboflow.com/personal-0c5eb/pit-of-heresy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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