Drone Dataset Object Detection Dataset and Pre-Trained Model by Samreen Practice

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Explore Dataset

Here are a few use cases for this project:

Drone Detection in Airspace Security: This model can be utilized by air traffic controllers, airport security teams or defense systems to detect unauthorized drone activities in restricted areas or near sensitive sites. It would alert stakeholders when it spots a drone, potentially preventing security breaches.
Wildlife Monitoring and Research: Scientists can utilize this model to help them track and trace drones capturing wildlife data in remote areas. The Drone Dataset can assist in identifying specific drones and associate them with their respective missions.
Quality Control in Drone Manufacturing: Drone manufacturers can use the model to assist with quality control in the assembly line. It can recognize different drone classes and point out any inconsistencies, enhancing the overall production quality.
Surveillance and Law Enforcement: Law enforcement agencies could use this model to recognize and classify different drones used in surveillance activities. It would help in managing, coordinating and streamlining drone operations for a variety of missions like search and rescue, crowd monitoring etc.
Drone Hobbyist Community: The model can be used within hobbyist or enthusiast communities to help users recognize and learn about different classes of drones. It could also be used in competitions or events for categorizing and judging drones based on their specific classes.

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{
                            drone-dataset-741s2_dataset,
                            title = { Drone Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Samreen Practice },
                            howpublished = { \url{ https://universe.roboflow.com/samreen-practice/drone-dataset-741s2 } },
                            url = { https://universe.roboflow.com/samreen-practice/drone-dataset-741s2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-02 },
                            }