Fastdup is a dataset curation tool that uses deep learning to analyze large image and video collections at scale. It identifies duplicate images, visually similar content, and outliers to help improve data quality for machine learning pipelines. The tool integrates into data preparation workflows to reduce costs and enhance label quality.