firedetection Object Detection Dataset and Pre-Trained Model by uiniversity

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Explore Dataset

Here are a few use cases for this project:

Wildfire Early Detection: The "firedetection" model can be used by environmental organizations or firefighting agencies to monitor forests, parks, or natural reserves for early signs of wildfires. By utilizing satellite or aerial imagery, the model can help spot fires and initiate a quicker response.
Urban Fire Detection: City governments can make use of the "firedetection" model to monitor urban environments for fires, specifically in areas with high fire risk. This can allow fire departments to respond more quickly to emergencies in congested, high-population areas.
Industrial Fire Monitoring: Industries with manufacturing plants or waste disposal sites can use the "firedetection" model to monitor their facilities for fires. In the given example, garbage dumps or landfill sites can be prone to fires, and proactive monitoring with computer vision can help manage and prevent such incidents.
Home Security and Safety Systems: Smart home security and safety systems can integrate the "firedetection" model to monitor households for any signs of fire. Alerts could be sent to homeowners or emergency services, helping to prevent property damage and potential loss of life.
Insurance Claim Verification: Insurance companies can use the "firedetection" model to cross-verify claims that involve fire damage. By analyzing images submitted with insurance claims, the computer vision model can help assess the cause, extent, and legitimacy of fire-related incidents, ultimately streamlining the claims process.

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{
                            firedetection-mpjno_dataset,
                            title = { firedetection Dataset },
                            type = { Open Source Dataset },
                            author = { uiniversity },
                            howpublished = { \url{ https://universe.roboflow.com/uiniversity/firedetection-mpjno } },
                            url = { https://universe.roboflow.com/uiniversity/firedetection-mpjno },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-05 },
                            }