implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

C++ Parallel Computing and Asynchronous Networking Engine

Fire and smoke detection using convolutional neural networks.

Forest Fire Detection By Convolutional Neural Network

Fire Detection using YOLOv8

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

Training YOLOv5 to detect fire in a video

使用知识推理方法抑制火灾检测中灯光干扰(Using knowledge inference to suppress the lamp disturbance for fire detection). YOLO, Googlenet Inception.

Comprehensive Analysis of Forest Fire Detection using Deep Learning Models and Conventional Machine Learning Algorithms

A compositor for X11.

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

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

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

here is the introduce of bls

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

In this project, we have impleted a lightweight fire detection by transforming it to an optimal colorspace. The method detects fire at very early stages with less memory utilization.

BLS Code