The dataset comprises 1120 images, equally divided into two classes: Smoking (560 images) and NotSmoking (560 images). It is designed to train models for detecting smokers in various settings.
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Details:
Class Balance: 560 images of smokers and 560 images of non-smokers.
Image Sourcing: Curated from search engines using diverse keywords.
Class Content:
Smoking Class: Features images of people smoking from various angles and gestures.
NotSmoking Class: Includes images of people in gestures similar to smoking, like drinking water or using an inhaler.
Purpose: Ideal for developing deep learning algorithms for automated smoker detection, environmental monitoring, and smart city surveillance.
Preprocessing: All images are resized to 250×250 resolution.
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