fire and smoke detection Computer Vision Project

The Fire and Smoke Detection Dataset is a comprehensive collection of images and annotations specifically curated for training object detection models, such as YOLOv8, to recognize and classify instances of fire and smoke in various real-world scenarios. This dataset is designed to empower computer vision applications for early fire detection, safety monitoring, and disaster prevention.

Key Features:

Image Variety: The dataset includes a diverse range of images captured from different sources, encompassing indoor and outdoor environments, different lighting conditions, and various perspectives.

Annotation: Each image in the dataset is meticulously annotated with bounding boxes that precisely delineate the regions containing fire and smoke. This high-quality annotation facilitates accurate model training.

Data Size: The dataset comprises thousands of annotated images, providing a substantial amount of training data to ensure the robustness and generalization of your YOLOv8 model.

Realistic Scenarios: Images include realistic scenarios such as fire outbreaks in buildings, industrial settings, forests, and more. The presence of smoke underlines the potential dangers.

Safety and Security: By utilizing this dataset, you can develop applications that contribute to safety and security by automatically detecting and alerting to fire and smoke incidents.

Use Cases:

Fire and smoke detection systems for buildings and public spaces Early warning systems for forest fires Industrial safety applications Disaster response and monitoring Detection of wildfires Environmental monitoring

License: The Fire and Smoke Detection Dataset is available under MIT License. Data Access: You can access and download the dataset from Roboflow.com, where you will find the images, annotations, and any additional resources needed for training your YOLOv8 model.

Citation: If you use this dataset in your research or projects, please consider citing it as follows:

fire and smoke detection. https://universe.roboflow.com/middle-east-tech-university/fire-and-smoke-detection-hiwia. Roboflow, 2023.

Acknowledgments: We would like to acknowledge the contributors and annotators who made this dataset possible, as well as the Roboflow team for hosting and maintaining it.

                        @misc{
                            fire-and-smoke-detection-hiwia-tkp9o_dataset,
                            title = { fire and smoke detection Dataset },
                            type = { Open Source Dataset },
                            author = { PT Bali Towerindo },
                            howpublished = { \url{ https://universe.roboflow.com/pt-bali-towerindo-yoceu/fire-and-smoke-detection-hiwia-tkp9o } },
                            url = { https://universe.roboflow.com/pt-bali-towerindo-yoceu/fire-and-smoke-detection-hiwia-tkp9o },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-20 },
                            }