One integrated computer vision platform for labeling, curation, QA, and datasets management. Open-source at its core, LightlyStudio is built for ML engineers and organizations scaling computer vision.












One tool for the whole loop — curate, annotate, evaluate, export — and a Python API behind every panel in the UI.
Everything you index is embedded automatically.
Filter by metadata, search by text or image, then run a sampling strategy - diverse coverage, deduplication, outlier detection, similarity, or class balancing - to keep only the subset worth labeling.

Create, edit and review annotations right where you work, whether that's a quick check or a full QA pass.
Every labeled object gets its own embedding, so you can search and cluster objects the same way you search whole images. Bring in SAM3 or a LightlyTrain model to auto-label the easy cases first.

Run an evaluation against ground truth and get per-sample metrics plus a confusion matrix, no separate script required.
Sort by false positives, false negatives or mIoU to jump straight to the samples your model gets wrong.

Install ready-made plugins for SAM3 segmentation, LightlyTrain auto-labeling and video bounding box propagation, or register your own.
A plugin is a Python function with a form, so anything you can script, your whole team can run from the UI.

Invite your team and give each person a role that matches what they should touch.
Viewers browse and export, Labelers tag and annotate, Editors configure the workspace, Admins manage it all.

Export annotations or filenames straight from the grid, or automate it in Python. Export the full dataset or just a filtered subset by tag or query.

LightlyStudio connects everyone working on your ML data pipeline - from ML engineers to labelers. Built for technical and non-technical users.
Integrate with your existing ML stack, access SDK and API support, and build on open-source standards designed for flexibility and scale.

Use intuitive labeling tools with role-based permissions, dataset versioning, and performance tracking to manage annotation workflows at scale.

We make it easy to migrate your data from Encord, Voxel51, Ultralytics, V7Labs, Roboflow, or other ML tools. Contact us to learn more.
LightlyStudio meets enterprise-grade requirements for compliance, extensibility, and deployment flexibility.

International standard for information security management systems

Use your dataset to pretrain a model with just a few lines of code.

A computer vision framework for self-supervised learning developed for research.
Each tutorial walks through a complete, real workflow — from raw data to a trained or evaluated model.
Join 100+ ML teams that have cut their training costs by more than 50% with Lightly products.
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Picking DINOv3 or YOLO11 is easy. Getting it to run in production isn’t.
Learn how to do it properly. 👇