LightlyTrain is a tool that drastically speeds up computer vision model development by allowing you to leverage your unlabeled data. It uses self-supervised pretraining, significantly reducing the need for extensive manual labeling. The tool integrates seamlessly into existing training pipelines and supports a wide range of models and architectures, including Torchvision, Ultralytics YOLO models, and custom PyTorch models. LightlyTrain achieves high performance by pretraining models on domain-specific data, and it’s particularly beneficial when working with limited labeled data, custom architectures, or data with unique distributions. It offers flexible licensing options (AGPL-3.0 or commercial) and simplifies the process of building and deploying computer vision models.