The dataset contains frames extracted from self-checkout videos, specifically focusing
on tracking products. The tracking data provides the trajectory of each product,
allowing for analysis of customer movement and behavior throughout the transaction.
The dataset assists in detecting shoplifting and fraud, enhancing efficiency, accuracy,
and customer experience. It facilitates the development of computer vision models for
object detection, tracking, and recognition within a self-checkout environment.
