Drunken4VN: A Thermal Infrared Imaging Dataset for Alcohol Intoxication Detection in Vietnamese under Diverse Environmental Conditions

This dataset contains a variable number of images per class, with 140 sober and 420 drunk images from three drinking sessions. The thermal diversity dataset (TDD) consists of 1,720 frontal facial thermal images from 60 subjects (45 sober, 15 drunk). The drunk subjects drank at least 660 ml of beer.

Frontal facial images were taken from different facial poses (front, left, right) for additional pose diversity and balancing of the dataset. This subset includes facial thermal images only to enhance model generalization towards real-time detection. By incorporating both methods and testing with an additional 20 people beyond the initial dataset, the total number of images in the dataset now amounts to 2,737.

Specifically, there are 1,583 images depicting drunken individuals and 1,154 images showing non-drunken individuals. Both methods are extended to give further pairs of samples that are then combined to form an equilibrium binary classification problem. All images are saved in JPEG format with an average size of 30-50 KB, a fair compromise between storage capacity and quality.

The dataset records important physiological temperature variations related to alcohol intake. Assembled from various environmental settings and time frames, this dataset fully represents the real climate in Vietnam and population diversity, and therefore is a precious source for constructing robust, population-driven drunkenness detection models in Southeast Asia.