Synthetic Image fire and non-fire dataset
Published: 16 May 2025| Version 1 | DOI: 10.17632/mx33vrmxrv.1
Contributors:
Sharia Arfin Tanim, Al Rafi Aurnob, Description
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.
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Institutions
- American International University Bangladesh
Categories
Object Detection, Image Classification