  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/.
