This article includes a comprehensive collection of over 800 high-resolution streetlight images taken systematically from India's major streets, primarily in the Chennai region. The images were methodically collected following standardized methods to assure uniformity and quality. Each image has been labelled and grouped into directories based on binary class labels, which indicate whether each streetlight is functional or not. This organized dataset is intended to make it easier to train and evaluate deep neural networks, allowing for the creation of pre-trained models that have robust feature representations. Such models have several potential uses, such as improving smart city surveillance systems, automating street infrastructure monitoring, and increasing urban management efficiency. The availability of this dataset is intended to inspire future research and development in computer vision and smart city technologies, supporting innovation and practical solutions to urban infrastructure concerns. The dataset can be accessed at https://github.com/Team16Project/Street-Light-Dataset/.

该研究提供了超过800个高分辨率的街灯图像，这些图像系统地收集自印度主要街道，主要是针对金奈地区。这个有组织的数据集旨在更容易地训练和评估深度神经网络，以创建具有强大特征表述的预训练模型。此数据集的可用性旨在鼓励计算机视觉和智能城市技术的未来研究和发展，支持创新和实际解决城市基础设施问题。

城市街灯分析的综合数据集