This repository provides a simple deep learning baseline for pedestrian attribute recognition, treating it as independent binary classification for each attribute (e.g., gender, clothing type). It uses ResNet50 as the backbone model and evaluates on standard re-identification datasets Market-1501 and DukeMTMC-reID with their attribute annotations.