fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
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Updated
Dec 3, 2022 - Jupyter Notebook
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
Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.
D-Fire: an image data set for fire and smoke detection.
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
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
Fire and smoke detection using spatial and temporal patterns.
This is a c++ implement of yolov5 and fire/smoke detect.
Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.
Python and Arduino code for Fire Detection using HAAR Cascade and Alert System
Real-time Fire Detection for CCTV surveillance system using Deep Learning YOLOv2
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
Research Internship project under Assistant Prof. Manish Bhatt of IIT, Guwahati
A CNN based fire detection model using TensorFlow (Keras) and transfer learning. Includes a Python script to scrap image data from the web.
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