SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection

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.

• •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.