achmadfachturrohman/firenet-lightweight-network-for-fire-detection

FireNet-LightWeight-Network-for-Fire-Detection

A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications

(Preprint of the research paper on this work is available at https://arxiv.org/abs/1905.11922v2. Please consider citing if you happen to use the codes or dataset.

Citation

@article{jadon2019firenet,
  title={Firenet: A specialized lightweight fire \& smoke detection model for real-time iot applications},
  author={Jadon, Arpit and Omama, Mohd and Varshney, Akshay and Ansari, Mohammad Samar and Sharma, Rishabh},
  journal={arXiv preprint arXiv:1905.11922},
  year={2019}
}

In our paper we showed results on two datasets:

• A self created diverse dataset with images randomly sampled from our self-shot fire and non-fire videos.
• Foggia's dataset (used for testing), which is available here (https://mivia.unisa.it/datasets/video-analysis-datasets/fire-detection-dataset/).

It needs to be mentioned that the data used for training is only our custom created dataset, and not Foggia's full dataset. Testing was performed on previously held-out samples from our dataset as well as on Foggia's dataset.

The following is the link to our dataset used in the FireNet paper:

• https://drive.google.com/drive/folders/1HznoBFEd6yjaLFlSmkUGARwCUzzG4whq?usp=sharing