final fire project Object Detection Dataset and Pre-Trained Model by BRAC University

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Explore Dataset

Here are a few use cases for this project:

Fire Detection and Alert Systems: This model can be used in security cameras or IoT devices to automatically detect and send alerts about any smoke or fire in homes, offices, or forest areas, assisting in quick fire response measures.
Emergency Response Training: The model can be employed in simulation and training exercises for emergency responders, such as firefighters, to familiarize them with various conditions including fire, smoke, and the presence of people, thus boosting their emergency response skills.
Video Monitoring in Hazardous Areas: The model could be used to monitor video feeds in high-risk locations such as mines, chemical plants, or manufacturing facilities, providing real time alerts in case of smoke or fire, and identifying anyone in the vicinity who might be in danger.
Film and Animation - Scene Classification: In film production, this model could be useful in categorizing scenes based on fire/smoke/no-fire classes. It could help editors and directors find specific scenes quickly during the post-production phase.
Safety Training in Schools and Organizations: The model can be used to develop interactive safety training applications where participants have to identify possible fire hazards and evacuate people. Such applications will help improve the participants' ability to handle real-world emergency 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{
                            final-fire-project_dataset,
                            title = { final fire project Dataset },
                            type = { Open Source Dataset },
                            author = { BRAC University },
                            howpublished = { \url{ https://universe.roboflow.com/brac-university-uuemy/final-fire-project } },
                            url = { https://universe.roboflow.com/brac-university-uuemy/final-fire-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-24 },
                            }