SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection
Published:Dec 12, 2025 01:47
•1 min read
•ArXiv
Analysis
This article introduces SmokeBench, a benchmark designed to evaluate multimodal large language models (MLLMs) in the context of wildfire smoke detection. The focus is on assessing the performance of these models in a specific, real-world application. The use of a dedicated benchmark suggests a growing interest in applying MLLMs to environmental monitoring and disaster response.
Key Takeaways
- •SmokeBench is a new benchmark for evaluating MLLMs.
- •The benchmark focuses on wildfire smoke detection.
- •This research highlights the application of MLLMs in environmental monitoring.
Reference
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