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English(EN) A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification

新数据集旨在通过人工智能改进野火检测

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了全球野火预防数据集（GWFP），这是一个新的开源野火图像和视频集合，旨在推进早期检测和分类研究。该数据集包含全球收集的各种野火场景，包括火焰、烟雾和具有挑战性的环境条件。它已通过各种卷积和Transformer架构进行基准测试，以评估鲁棒性和泛化能力，其中一种新颖的HTE-ResNet模型显示出有希望的结果。 AI

影响 该数据集可以显著提高人工智能驱动的野火检测系统的准确性和速度，从而更好地进行早期响应和缓解工作。

排序理由 该集群包含一篇详细介绍用于野火检测的新数据集和模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新数据集旨在通过人工智能改进野火检测

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该集群包含一篇详细介绍用于野火检测的新数据集和模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin, Erdem Koyuncu, Adam J. Watts, Ugur Gudukbay, Ahmet Enis Cetin ·

    用于鲁棒野火检测和分类的大规模开源图像和视频数据集

    arXiv:2606.10174v1 Announce Type: new Abstract: Wildfire detection and monitoring are critical for mitigating fire spread and reducing environmental and infrastructural damage. In this work, we introduce GWFP (Global Wildfire Prevention Dataset), a large-scale, open-source datase…

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