Single Image Crowd Counting via MCNN (Unofficial Implementation)

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More

The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

Multi-level Attention Refined UNet for crowd counting

Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.

Pytorch implementation of SGANet for crowd counting

Proposed fuzzy reward model with GRPO to improve VLM's abilities in crowd counting task.

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer (TPAMI 2025)

This is the implementation of paper "A Multi-Scale and Multi-level Feature Aggregation Network for Crowd Counting"

unofficial keras port of LSC-CNN

A simple label tool for crowd counting.

Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.

This repository performs crowd counting inference using a pre-trained ONNX model. Input an image to estimate head localization in crowded scenes.