Fire detection using customized basic CNN and InceptionV3 model.

A Model for the Early-Detection of Forest-Fires

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

Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.

In this repo, we introduce a real-time fire detection model that is highly compatible to surveillance camera view.

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

Forest Fire Detection using Mask RCNN Model

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

基于YOLO的火灾视频监测算法

A real-time deep learning system powered by YOLOv8 for accurate fire and smoke detection across images, videos, and live webcam feeds. The system issues instant Telegram alerts when fire confidence surpasses a safe threshold. With a Flask-based interface and detailed model evaluation metrics, this solution enhances wildfire monitoring, early detect

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Forest-Fire detection model using Tensorflow and keras.

We leveraged a pre-trained YOLOv8 model and fine-tuned it with our custom dataset to enhance detection capabilities specifically for fire and smoke incidents.

The aim of this project was to build a fire detection system using YOLOv8 model.

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

CNN model for fire detection using CCTV footage, built using TensorFlow and Keras, and is designed to classify whether a given image footage contains fire or not

A fire detection model based on YOLOv8 Ultralytics model for object detection. Tech: Python, Computer Vision, Colab Notebook, Fire-detection, YOLOv8

In this project I used Yolov8 model for fire detection

An object detection models trained to detect car collision, fire, and smoke using YOLOv11.

This repository tackles object segmentation and detection using deep learning. It implements Segment Anything Model (SAM) for segmenting water bodies in satellite imagery and Faster R-CNN for detecting fire and smoke in wildfire images.

fire detection model constructed using keras 3d

Smoke dispersion modeling from goes fire detections

This is a project apart of my machine learning series I am making.

Common lightweight CNN models for forest fire detection and improvements

This project uses the YOLOv8 object detection model to monitor live webcam feed and detect fire and smoke in real-time. When fire or smoke is detected for a certain threshold of time, an alert is triggered that includes an email notification with a screenshot of the detection and an audible sound.

Smoke-fire detection with pytorch and it creates model file(.pt) for libtorch C++ implementation

Final work featuring data collection, training and testing of YOLOv8 fire detection model and its deployment using Streamlit

对FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications Arpit（2019）的复现。

Utilizes TensorFlow framework to train ResNet-50, VGG-16, and custom CNN models for accurately classifying forest fire images, aiding in early detection and mitigation efforts.

This is a website which I created on SITE-24 Hackathon. In the website their is a ML Model for fire detection using camera's IP address. We also put a Weather report API in this website. Our future plan for this website is to add an alert system for fire detection and a rainfall prediction model.