CDNet

CDNet is an acronym that can refer to multiple technologies and datasets, depending on the context. The term is most commonly associated with a computer vision project that provides a benchmark for change detection and background subtraction in video sequences. In this usage, CDNet (often cited as CDNet2014) offers a collection of annotated video data and an evaluation framework that researchers use to compare the performance of algorithms designed to identify foreground objects or changes between frames.

The CDNet dataset emphasizes diversity in scene conditions and challenges, including variations in illumination, weather, camera motion, and clutter. Ground-truth masks accompany the sequences to enable objective measurement of detection accuracy, precision, and robustness. The project and its evaluation protocol are publicly accessible, with the dataset widely referenced in academic literature as a standard benchmark for background subtraction and related change-detection tasks. It has helped drive methodological advances by providing a common, reproducible testing ground for new approaches.

Beyond computer vision, CDNet is not a single standardized term in other fields. In networking and web infrastructure, marketing or vendor literature may use CDNet informally to refer to content delivery networks, though the conventional acronym in that domain is CDN. As such, CDNet may appear in varied contexts, and its precise meaning usually depends on the associated discipline or organization.