Fire Detection
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Benchmarks
Most implemented
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection
Papers
HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
The increasing frequency and severity of climate related disasters have intensified the need for real time monitoring, early warning, and informed decision-making. Earth Observation (EO), powered by satellite data and Ma…
Fire DetectionIntelligent Spatial Estimation for Fire Hazards in Engineering Sites: An Enhanced YOLOv8-Powered Proximity Analysis Framework
This study proposes an enhanced dual-model YOLOv8 framework for intelligent fire detection and proximity-aware risk assessment, extending conventional vision-based monitoring beyond simple detection to actionable hazard …
Instance SegmentationObject DetectionFire DetectionDeep Learning Based Wildfire Detection for Peatland Fires Using Transfer Learning
Machine learning (ML)-based wildfire detection methods have been developed in recent years, primarily using deep learning (DL) models trained on large collections of wildfire images and videos. However, peatland fires ex…
Transfer LearningFire DetectionDetection Fire in Camera RGB-NIR
Improving the accuracy of fire detection using infrared night vision cameras remains a challenging task. Previous studies have reported strong performance with popular detection models. For example, YOLOv7 achieved an mA…
Data AugmentationFire DetectionSCU-CGAN: Enhancing Fire Detection through Synthetic Fire Image Generation and Dataset Augmentation
Fire has long been linked to human life, causing severe disasters and losses. Early detection is crucial, and with the rise of home IoT technologies, household fire detection systems have emerged. However, the lack of su…
Image GenerationFire DetectionNear--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
Ongoing armed conflict in Sudan highlights the need for rapid monitoring of conflict-related fire-affected areas. Recent advances in deep learning and high-frequency satellite imagery enable near--real-time assessment of…
Fire Detection