fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Detect fire in images using neural nets

Training YOLOv5/YOLOv9 to detect fire in a video

D-Fire: an image data set for fire and smoke detection.

Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Wildfire Detection with Deep Neural Networks

This is my final year project on fire detection using infra-red technology, Which include real time detection and record video detection create fire alert for the safety.

Fire and smoke detection using spatial and temporal patterns.

This is a c++ implement of yolov5 and fire/smoke detect.

This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.

Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.

Fire-Detection-using-YOLOv8

𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.

A CNN based fire detection model using TensorFlow (Keras) and transfer learning. Includes a Python script to scrap image data from the web.