Nav Symbol Recognition CS Capstone

Aero Nav Symbol Detection

Object Detection

Aero Nav Symbol Detection Computer Vision Project

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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{
                            aero-nav-symbol-detection_dataset,
                            title = { Aero Nav Symbol Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Nav Symbol Recognition CS Capstone },
                            howpublished = { \url{ https://universe.roboflow.com/nav-symbol-recognition-cs-capstone-x28rp/aero-nav-symbol-detection } },
                            url = { https://universe.roboflow.com/nav-symbol-recognition-cs-capstone-x28rp/aero-nav-symbol-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-06-24 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Aero Nav Symbol Detection project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

Navigation-Symbols

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Downloads: 0

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License

CC BY 4.0

Classes

FLYOVER POINT Hold-in-lieu of Procedure Turn MINIMUM SAFE ALTITUDE Missed Approach Obstacle Reporting Point WAYPOINT airports arrival civil distance not to scale dme group of obstacles highest spot elevation left base area localizer course lom/lmm marker beacon ndb procedure track right base area spot elevation straight-in area tacan vor vor/dme vortac