Synthetic Image fire and non-fire dataset

This dataset consists of 1,000 AI-generated images, created using a Stable Diffusion model. The images are organized into two distinct folders: Fire: Contains 500 images depicting synthetic representations of forest fires. Non-Fire: Contains 500 images showing various forest scenes without any fire activity. Each image has a resolution of 260x260 pixels, optimized for use in machine learning tasks such as classification, detection, and environmental monitoring. Purpose The dataset is intended to aid research and development in areas such as: Forest fire detection and prevention using AI. Benchmarking deep learning models for image classification tasks. Studying the environmental impact of forest fires.本数据集包含1000张由Stable Diffusion模型生成的人工智能图像，划分为两个独立文件夹： Fire文件夹：包含500张合成森林火灾场景的图像 Non-Fire文件夹：包含500张无任何火灾活动的各类森林场景图像 每张图像分辨率为260×260像素，经优化适配于分类、检测及环境监测等机器学习任务。 用途 本数据集旨在助力以下领域的研究与开发： 1. 基于人工智能的森林火灾检测与防控研究 2. 面向图像分类任务的深度学习模型基准测试 3. 森林火灾环境影响相关研究