Smoker Classification Dataset TelcoWar

The Smoking vs Non-Smoking Image Dataset provides a diverse set of images to classify individuals based on smoking habits. The images are already organized into training, validation, and test sets, making it easy to integrate into machine learning workflows.

Key Features:

• Clear Classification: Labels are defined by the image names, with images categorized into Smoking and Non-Smoking categories.
• Pre-Split Data: The dataset is already divided into Training, Validation, and Test sets, ensuring easy implementation in machine learning models.
• High-Quality Images: Each image is carefully curated for classification tasks, making it suitable for both model training and evaluation.

Applications:

• Health and Wellness: Train AI models to detect smoking habits for health-related applications.
• Behavioral Analysis: Develop systems for behavioral pattern recognition based on smoking habits.
• Image Classification: Ideal for machine learning projects focused on image classification tasks.

This dataset is sourced from Kaggle.