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Flugunfallerkennung-Planes Computer Vision Project

flugunfallerkennung

Updated 2 years ago

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Object Detection Model
Classes (7)
airplane fire
glider
husky
smoke
tmg
ultralight

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Description

Here are a few use cases for this project:

  1. Aviation Safety: The model could be used by aviation authorities and air traffic controllers to monitor runways in real time, identifying different types of aircraft and detecting any signs of smoke or fire instantly for early accident prevention.

  2. Disaster Response: Emergency services could use the dataset to quickly identify plane crashes and forward this information to the relevant authorities, expediting the response time to such incidents.

  3. Insurance Claims: Insurance companies may use this model to verify claims related to aviation accidents by analyzing images of the incident, aiding in determining the type of plane involved and the presence of fire or smoke.

  4. Autonomous Rescue Drones: Companies designing autonomous drones for rescue operations could use this model to help the drones identify crashed planes, especially in difficult terrains or adverse weather conditions.

  5. Training and Simulation: This model could be used for training purposes, helping develop simulation programs that mimic real-world scenarios for emergency service providers, teaching them how to recognize different aircraft types and accident indicators.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            flugunfallerkennung-planes_dataset,
                            title = { Flugunfallerkennung-Planes Dataset },
                            type = { Open Source Dataset },
                            author = { flugunfallerkennung },
                            howpublished = { \url{ https://universe.roboflow.com/flugunfallerkennung-zum1j/flugunfallerkennung-planes } },
                            url = { https://universe.roboflow.com/flugunfallerkennung-zum1j/flugunfallerkennung-planes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-24 },
                            }

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