Fire and Smoke Dataset

Dataset for early detection of Fire and Smoke, Smart cameras, Fire alarm systems

About Dataset

This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 7000+ original Fire and Smoke images captured and crowdsourced from over 400+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.

Dataset Features

1. Dataset size : 7000+
2. Captured by : Over 1000+ crowdsource contributors
3. Resolution : 98% images HD and above (1920x1080 and above)
4. Location : Captured with 400+ cities accross India
5. Diversity : Various lighting conditions like day, night, varied distances, view points etc.
6. Device used : Captured using mobile phones in 2020-2021
7. Usage : Fire and Smoke detection, Smart cameras, Fire and Smoke alarming system, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai

Visit www.datacluster.ai to know more.

                        @misc{
                            fire-and-smoke-dataset-umfsp_dataset,
                            title = { Fire and Smoke Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/fire-and-smoke-dataset-umfsp } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/fire-and-smoke-dataset-umfsp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }