Smoker Detection Dataset

The dataset contains 1120 images divided equally into two classes, where 560 images are of Smoking (smokers) and remaining 560 images belong to NotSmoking (non-smokers) class. The dataset is curated by scanning through various search engines by entering multiple keywords that include cigarette smoking, smoker, person, coughing, taking inhaler, person on the phone, drinking water etc. We tried to consider versatile images in both classes for creating a certain degree of inter-class confusion in order to better train the model. For instance, Smoking class contains images of smokers from multiple angles and various gestures. Moreover, the images in NotSmoking class consists of images of non-smokers with slightly similar gestures as that of smoking images such as people drinking water, using inhaler, holding the mobile phone, coughing etc. The dataset can be used by the prospective researchers to propose deep learning algorithms for automated detection and screening of smoker towards ensuring the green environment and performing surveillance in smart cities. All images in the dataset are preprocessed and resized to a resolution of 250×250. We considered 80% of the data for training and validation purposes and 20% for the testing.

Please cite this article if you use this dataset in your research:
A. Khan, S. Khan, B. Hassan, and Z. Zheng, “CNN-Based Smoker Classification and Detection in Smart City Application,” Sensors, vol. 22, no. 3, pp. 892, 2022.

本数据集共包含1120张图像，均分为两个类别：吸烟（Smoking）类别与非吸烟（NotSmoking）类别，各含560张图像。
本数据集通过检索多个搜索引擎，结合多组关键词筛选整理而成，涉及的关键词包括吸烟、吸烟者、人物、咳嗽、使用吸入器、打电话、饮水等。为提升模型的训练效果，我们在两个类别中均选取了多样化的图像，以制造一定程度的类间混淆。例如，吸烟类别涵盖了不同拍摄角度、多种姿态的吸烟者图像；而非吸烟类别则包含了非吸烟者的图像，其部分姿态与吸烟类别图像存在相似性，如饮水、使用吸入器、手持手机、咳嗽等场景。
本数据集可供相关研究者开发深度学习算法，用于吸烟者的自动检测与筛查，以助力绿色环境构建与智慧城市监测工作。数据集中所有图像均经过预处理，并统一调整至250×250的分辨率。我们将80%的数据用于训练与验证，剩余20%用于测试。
若在研究中使用本数据集，请引用以下文献：A. Khan, S. Khan, B. Hassan, and Z. Zheng, "CNN-Based Smoker Classification and Detection in Smart City Application", Sensors, vol. 22, no. 3, pp. 892, 2022.

搜集汇总

背景与挑战

背景概述

该数据集包含1120张250×250分辨率的图像，均衡分为吸烟和非吸烟两类，用于训练和测试深度学习模型以实现智能城市中的吸烟检测。