SCU-CGAN: Synthetic Fire Image Generation for Enhanced Fire Detection
Published:Dec 9, 2025 08:38
•1 min read
•ArXiv
Analysis
The research focuses on a crucial area of AI: improving the performance of fire detection systems. Using synthetic data generation with a specific GAN architecture, the study aims to boost the accuracy and robustness of these systems.
Key Takeaways
- •SCU-CGAN employs synthetic image generation to augment datasets for fire detection.
- •The approach potentially improves the accuracy and reliability of fire detection systems.
- •The research contributes to the development of safer and more effective AI-powered fire prevention.
Reference
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