Near-duplicate detection

Near-duplicate detection is the process of identifying items, such as documents or images, that are very similar but not exactly the same. For example, two news articles covering the same event might have slightly different words, or two photos might look almost identical with minor edits. This technique helps organize, filter, or remove repetitive content, improving efficiency in data management, search engines, or online platforms. It uses algorithms to compare features and measure similarity, ensuring that similar items are recognized despite small differences.