# FireNet-LightWeight-Network-for-Fire-Detection

**Repository Path**: david12/FireNet-LightWeight-Network-for-Fire-Detection

## Basic Information

- **Project Name**: FireNet-LightWeight-Network-for-Fire-Detection
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-27
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.

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