Open-CD: A Comprehensive Toolbox for Change Detection

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Kaiyu Li, Jiawei Jiang, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Ziyuan Liu, Yuantao Gu, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao

Published: 27 Oct 2025, Last Modified: 06 Nov 2025CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules. The toolbox started from a series of open source general vision task tools, including OpenMMLab Toolkits, PyTorch Image Models (Timm), etc. It gradually evolves into a unified platform that covers many popular change detection methods and contemporary modules. It not only includes training and inference codes, but also provides some useful scripts for data analysis. We believe this toolbox is by far the most comprehensive change detection toolbox. In this report, we introduce the features, supported methods and applications of Open-CD. In addition, we also conduct a benchmarking study on different methods and components. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new change detectors. Code and models are available at https://github.com/likyoo/open-cd.