Drondetection Object Detection Dataset and Pre-Trained Model by Suranaree

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Explore Dataset

Here are a few use cases for this project:

Airport Security: The "Drondetection" model can be used in airports to ensure airspace safety from unauthorized drones. Distinguishing between planes, jets, helicopters, birds, and drones would help maintain a safe and secure flying environment.
Wildlife Tracking: In wildlife management, the model could be utilised to track bird movements and patterns. It can distinguish birds from other flying entities, thus leading to accurate data regarding bird species and migration patterns.
Military Applications: For military use, it can detect hostile or unauthorized drones and helicopters in sensitive areas. It could also be used in reconnaissance missions to identify any aircraft or drones in the region.
Sports Broadcasting: During live sports events, the model can help to ensure that broadcasts are unimpeded by unauthorised drones. It could also monitor for any other air traffic that might interfere with the game, ensuring safety for players and spectators.
Traffic Reporting: This model can be used for live traffic reporting by differentiating between different aircraft types. This can help in analyzing the level of air traffic and can assist in effective traffic management.

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{
                            drondetection_dataset,
                            title = { Drondetection Dataset },
                            type = { Open Source Dataset },
                            author = { Suranaree },
                            howpublished = { \url{ https://universe.roboflow.com/suranaree-ch9tu/drondetection } },
                            url = { https://universe.roboflow.com/suranaree-ch9tu/drondetection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-26 },
                            }