LightlyTrain: Faster Model Training, No Labels Needed

LightlyTrain brings self-supervised pretraining to real-world computer vision pipelines. It leverages your unlabeled data to drastically reduce labeling costs and accelerate model deployment. Easily integrate it into existing workflows; just a few lines of code are needed to pretrain models on your unlabeled image and video data using various architectures supported by libraries like Torchvision, Ultralytics, and TIMM. Scalable to millions of images, LightlyTrain significantly improves model performance for both small and large datasets, enabling you to export models for fine-tuning or inference. No self-supervised learning expertise is required.