Smoker Detection Classification Dataset
Smoker Detection Classification Dataset
Datasets
Smoker Detection Classification Dataset
File
Smoker Detection Classification
Use Case
Smoker Detection Classification
Description
Discover a meticulously curated Smoker Detection Classification Dataset featuring 1120 high-quality images, balanced with 560 smoking and 560 non-smoking scenarios.
Description:
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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