This repository is an awesome list consolidating resources for crowd counting research, including benchmark datasets like NWPU-Crowd and JHU-CROWD++, published papers, leaderboards for model evaluation, and open-source code frameworks. Crowd counting relies on deep learning approaches—typically CNN-based density map regression—to estimate the number of people in images or video frames, making it a well-established computer vision and ML application domain.