djmax note detection 2 Object Detection Dataset and Pre-Trained Model by djmax

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Explore Dataset

Here are a few use cases for this project:

Video Game Strategy Planning: Gamers could utilize this model to analyze screenshots or recordings of their DJMax gameplay and extract valuable strategy information. This can help them detect patterns and improve their performance in the game.
Game Coaching Apps: In line with the educational applications of technology, this model could be integrated into an application that coaches players on DJMax. It can identify notes and suggest optimal strategies or movements, similar to chess instruction software.
Music Education: The model could be utilized as a part of a music teaching application where it detects and analyses the note patterns in DJMax. This can help in teaching the concept of musical timing, rhythm, and note transitions to students.
Virtual Reality Gaming: The model could be integrated into a Virtual Reality (VR) game that involves music-based tasks. Player's actions can be examined and evaluated in real-time based on the detection of notes and hold patterns.
Content Creation and Streaming: Streamers and content creators could use the model to create gameplay breakdowns, tutorials or detailed analyses of play tactics for their viewers. It would allow insights into complex note sequences and potential high-score strategies.

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{
                            djmax-note-detection-2_dataset,
                            title = { djmax note detection 2 Dataset },
                            type = { Open Source Dataset },
                            author = { djmax },
                            howpublished = { \url{ https://universe.roboflow.com/djmax/djmax-note-detection-2 } },
                            url = { https://universe.roboflow.com/djmax/djmax-note-detection-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-05 },
                            }