Name: MSFS Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

2619 images

Explore Dataset

Here are a few use cases for this project:

Flight Simulation Applications: Developers of flight simulation games or training programs can use this model to provide a realistic flying experience by identifying and interacting with exact cockpit instruments, augmenting players' immersion and education.
Aviation Training: The MSFS model can be used in aviation academies to train students. Specifically, it can be used to create interactive digital content or augmented reality experiences that help students identify and understand how to read and operate various cockpit instruments.
Maintenance & Safety inspections: Aircraft maintenance engineers can use the MSFS model to automatically recognize and inspect different cockpit instruments and their proper functioning. This can help streamline the routine checks while reducing human error.
Virtual Assistants for Pilots: This model can facilitate the development of AI assistants designed for pilots. The assistant can, based on the model's object identification, provide real-time assistance or information about instrument status, malfunctions, or necessary adjustments.
Aircraft Investigation and Reconstruction: In the event of an aviation incident or accident, investigators could use this model to help decipher cockpit imagery or instrument readings to piece together the sequence of events leading up to the incident.

Cite This Project

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

@misc{
                            msfs_dataset,
                            title = { MSFS Dataset },
                            type = { Open Source Dataset },
                            author = { Instrument Detection },
                            howpublished = { \url{ https://universe.roboflow.com/instrument-detection/msfs } },
                            url = { https://universe.roboflow.com/instrument-detection/msfs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-05-03 },
                            }