火灾检测——相关数据集
目录
1.1 MIVIA Fire Detection Dataset
1.2 FireNet-LightWeight-Network-for-Fire-Detection
1.3 Fire Flame Dataset（Deep Quest AI）
2.1 FIRESENSE Database
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.)
【若觉文章质量良好且有用，请别忘了点赞收藏加关注，这将是我继续分享的动力，万分感谢！】
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
Non-stationary VFD Evaluation Kit: Dataset and Metrics to Fuel Video-Based Fire Detection Development
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
【若觉文章质量良好且有用，请别忘了点赞收藏加关注，这将是我继续分享的动力，万分感谢！】