Customer Activity Recognition in Retail (CARR) Dataset

The <b>Customer Activity Recognition in Retail (CARR)</b> dataset is a publicly available dataset designed to support research and development in <b>customer behavior analysis</b> using video surveillance. The dataset includes annotated videos and frames of customer activities captured in realistic retail environments using a single surveillance camera with a tilted angle of 45–90°.This dataset is intended for training and evaluating machine learning and deep learning models—particularly object detection, pose estimation, and activity classification—in retail contexts.<br>