LightlyTrain
An all-in-one framework for training state-of-the-art computer vision models, covering pretraining, fine-tuning, and distillation.
What is LightlyTrain?
LightlyTrain is an all-in-one framework for training state-of-the-art computer vision models. It covers the entire model development lifecycle, including pretraining vision foundation models like DINOv2/DINOv3 on unlabeled data, fine-tuning transformer and YOLO models for detection and segmentation tasks, and distilling knowledge from large models into smaller ones. It solves the problem of fragmented training pipelines by providing a unified toolset for efficient model development.
Computer vision researchers, ML engineers, and data scientists who need to train high-performance vision models for tasks like object detection, segmentation, and classification, especially those working with proprietary or on-premises data.
Developers choose LightlyTrain for its comprehensive support of SOTA methods (DINOv2/v3, EoMT, YOLO), high-performance multi-GPU training, and ability to run fully on-premises without API dependencies. It uniquely combines pretraining, fine-tuning, and distillation in a single framework with flexible model export options.
Overview
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Use Cases
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