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.)


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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:

  1. 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

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