Company intelligence
Lightly
The complete computer vision suite. Curate, label, pretrain, and fine-tune better vision models.
About Lightly
Lightly is a data-centric AI company helping ML teams build better computer vision systems, from data curation and labeling to model pretraining and fine-tuning. Born out of ETH Zurich, Lightly is trusted by enterprises, leading research institutions, and fast-growing startups. It is ISO 27001 certified and GDPR compliant. Our Computer Vision Suite: šØ LightlyStudio: one integrated, open-source platform for data labeling, curation, QA, and dataset management. š LightlyTrain: computer vision pretraining framework tailored for industrial applications. Pretrain, distill, and fine-tune vision foundation models on your own unlabeled data. No labels required. š ļø LightlyServices: expert AI training data services for LLMs and AI agents, and computer vision. Plus open-source projects: LightlySSL (self-supervised learning framework) and LabelFormat (standardized data labeling format). š lightly.ai
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Signals from Lightly
5 published signals
Products & Services
Lightly released the new LT-DETRv2 model line-up for object detection and instance segmentation tasks with LightlyTrain, an open-source framework for self-supervised learning and downstream fine-tuning.
Reported by Lightly
Products & Services
Lightly is building an end-to-end pipeline for unlabeled image data from raw to in production using Studio and Train
Reported by Matthias Heller
Products & Services
Lightly provides LT-DETRv2 based on EdgeCrafter (TMLR'26) with ONNX and TensorRT support for deployment.
Reported by Yutong Xiang
Products & Services
Lightly covers the entire model development lifecycle with LightlyTrain, which includes pretraining DINOv2 and DINOv3 vision foundation models on unlabeled data, fine-tuning transformers and YOLO models for detection and segmentation, and edge deployment.
Reported by Lightly
Products & Services
Lightly is using LightlyTrain in dentistry to train DINOv3 backbones for dental radiograph detection
Reported by Lightly