Drones Object Detection Dataset and Pre-Trained Model by CVintern

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Explore Dataset

Here are a few use cases for this project:

Drone Classification: The "Drones" model could be used for a project aimed at classifying drone models to identify and document the variety of drones in use in a specific area. The researchers or drone enthusiasts could take images or footage and use the model to classify them.
Drone Traffic Management: This model can act as a monitoring tool in urban air mobility, used to manage drone traffic in busy city areas. It could identify the types and numbers of drones flying in specific areas, helping in setting up routes or zones for drone traffic.
Drone Detection and Security: In security applications, this model can identify unauthorized drones entering sensitive areas. Government premises or private properties could use this model to monitor drone activity and take necessary actions if unauthorized drones are detected.
Drone Research and Development: Developers or manufacturers of drones can use this model for R&D purposes. By identifying different drone classes, they can assess market trends, evaluate their products against competitors, and gather data for the development of future drone models.
Environmental Monitoring: For environmental projects, this model can track the use of different drone classes for environment-related tasks. The data could reveal how the varied capabilities of different drones are being utilized, like monitoring wildlife, surveying deforestation or mapping the progression of natural disasters.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            drones-pyom7_dataset,
                            title = { Drones Dataset },
                            type = { Open Source Dataset },
                            author = { CVintern },
                            howpublished = { \url{ https://universe.roboflow.com/cvintern-3gusx/drones-pyom7 } },
                            url = { https://universe.roboflow.com/cvintern-3gusx/drones-pyom7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-28 },
                            }