FireDetector Object Detection Dataset and Pre-Trained Model by UMA

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Here are a few use cases for this project:

Emergency response systems: FireDetector can be integrated into surveillance systems, such as CCTV, to promptly detect fires and automatically alert emergency services, potentially saving lives and reducing property damage.
Forest fire prevention and management: By equipping drones or satellite systems with the FireDetector model, authorities can monitor forests and quickly identify wildfires, allowing for swift response and containment of the situation.
Home and workplace safety: FireDetector can be incorporated into smart home and office systems to detect early signs of fire, triggering alarms and alerting residents or employees to evacuate or take preventive action.
Industrial safety monitoring: In high-risk industries such as oil and gas or chemical plants, installing FireDetector can help monitor for fires, enabling rapid response to minimize damage and prevent potential catastrophes.
Firefighter training and simulation: The FireDetector model can be used to create realistic fire scenarios for training programs and simulations, helping firefighters gain experience and learn to respond effectively in different fire situations.

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{
                            firedetector_dataset,
                            title = { FireDetector Dataset },
                            type = { Open Source Dataset },
                            author = { UMA },
                            howpublished = { \url{ https://universe.roboflow.com/uma-k4riu/firedetector } },
                            url = { https://universe.roboflow.com/uma-k4riu/firedetector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-03 },
                            }