primal-alpha-1v1-lol Object Detection Dataset and Pre-Trained Model by hackermon

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Explore Dataset

Here are a few use cases for this project:

Video Game Analysis and Coaching: This model can generate insights into player behavior in a game. By recognising player status and game items, it can help evaluate player performance, make strategic recommendations, or coach players in real-time. Keywords: real-time coaching, game analysis, player strategy, performance improvement.
Highlight Reel Creation: It could be used to create highlight reels of games by identifying key events or moments, based on the recognition of game items or player states such as "main.player.state.dead". Keywords: highlight reel, event detection, gameplay moments.
Game Testing and Quality Assurance: This model can be used to automate the testing of in-game elements, ensuring that all parts and states of the main player are functioning correctly, and game items are appearing and interacting properly. Keywords: game testing, quality assurance, functionality check, interaction testing.
Cheat Detection: By monitoring player states and in-game items, the model could detect anomalies and potential cheat techniques, such as abnormal possession of game items or unusual player state transitions. Keywords: cheat detection, fairness regulation, anomaly detection.
Game Development and Design: Designers can use the model to test the visibility and recognizability of new items or player parts before their final implementation, ensuring they are recognizable even in the complex visual layout of the game play. Keywords: game design, visibility testing, item recognizability, design optimization.

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{
                            primal-alpha-1v1-lol_dataset,
                            title = { primal-alpha-1v1-lol Dataset },
                            type = { Open Source Dataset },
                            author = { hackermon },
                            howpublished = { \url{ https://universe.roboflow.com/hackermon-emfmg/primal-alpha-1v1-lol } },
                            url = { https://universe.roboflow.com/hackermon-emfmg/primal-alpha-1v1-lol },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-07-08 },
                            }