目录
1.1 MIVIA Fire Detection Dataset
1.2 FireNet-LightWeight-Network-for-Fire-Detection
1.3 Fire Flame Dataset（Deep Quest AI）
2.2 furg-fire-dataset-master (Hüttner et al.)
2.3 CVPR Lab ——KMU Fire and Smoke database
2.4 BoWFireDataset (Chino et al.)
2.5 Sharma's Dataset (Sharma et al.)
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1.1 MIVIA Fire Detection Dataset
网址：
Sample Fire and Smoke Video Clips
数据描述：
12 个火的视频，无标注，还有其他的烟雾视频
论文：
Improving fire detection reliability by a combination of videoanalytics. In: Image analysis and recognition
Real-time fire detection for video-surveillance applications using a combination of experts based on color, shape, and motion
1.2 FireNet-LightWeight-Network-for-Fire-Detection
网址：
https://github.com/arpit-jadon/FireNet-LightWeight-Network-for-Fire-Detection
数据描述：
46 个火的视频，16 个非火的视频，160 张非火的图片，无标注
论文：
Firenet: a specialized lightweight fire & smoke detection model for real-time iot applications
1.3 Fire Flame Dataset（Deep Quest AI）
网址：
https://github.com/DeepQuestAI/Fire-Smoke-Dataset
数据描述：
Train: 火图片 900、中性图 900、烟雾图 900
Test：火图片 100、中性图 100、烟雾图 100
提出单位：Deep Quest AI
2.1 FIRESENSE Database
网址：
FIRESENSE database of videos for flame and smoke detection | Zenodo
数据描述：
火焰：11 个火的视频，16 个非火的视频
烟雾：13 个烟雾视频，9 个非烟雾视频
论文：
- K. Dimitropoulos, P. Barmpoutis, N. Grammalidis, "Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 25, No. 2, February 2015, pp. 339-351.
2.2 furg-fire-dataset-master (Hüttner et al.)
网址：
https://github.com/steffensbola/furg-fire-dataset
数据描述：
23 个视频，带有标注文件，标注信息为(int x, int y, int width, int height)
论文：
2017
First response fire combat: Deep leaning based visible fire detection
V. Hüttner, C. R. Steffens and S. Silva da Costa Botelho, "First response fire combat: Deep leaning based visible fire detection," 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), Curitiba, 2017, pp. 1-6, doi: 10.1109/SBR-LARS-R.2017.8215312.
2016
A Texture Driven Approach for Visible Spectrum Fire Detection on Mobile Robots
2015
An Unconstrained Dataset for Non-Stationary Video Based Fire Detection
2016
2.3 CVPR Lab ——KMU Fire and Smoke database
网址：
Computer Vision and Pattern Recognition Laboratory Homepage
数据描述：
Wildfire_smoke：4 个视频
Smoke_flame_like_moving_object：10 个视频
Indoor_outdoor(short_distance)smoke：2 个视频
Indoor_outdoor(short_distance)flame：22 个视频
相对比较模糊，历史比较悠久
单位：Computer Vision and Pattern Recognition Laboratory, Keimyung University, Korea
论文：Byoung Chul Ko, Jun-Yong Kwak, Jae-Yeal Nam, "Wildfire Smoke Detection using Temporal-Spatial Features and Random Forest Classifiers," Optical Engineering, Vol. 51, No. 01. ,pp.017208-1 - 017208-10, Jan. 2012.
2.4 BoWFireDataset (Chino et al.)
网址：
gbdi / BowFire Dataset / Downloads — Bitbucket
数据描述：
有两个数据集
trainset：80 张火图，80 张正常图、80 张烟雾图
dataset：119 张火图（带二值图）、107 张非火图（带二值图）
论文：BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. [Daniel Y. T. Chino and Letricia P. S. Avalhais]
2.5 Sharma's Dataset (Sharma et al.)
链接： https://github.com/UIA-CAIR/Fire-Detection-Image-Dataset
训练集：59 火图，490 非火图（共 549 张图）
测试集：51 火图、51 非火图（共 102 张图）
论文：Deep Convolutional Neural Network for Fire Detection in Images
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