The Multimodal
Computer Vision Platform

One integrated computer vision platform for labeling, curation, QA, and datasets management. Lightly is built for ML engineers and organizations scaling computer vision.

Platform

Your complete toolkit for computer vision

Two products, one pipeline. LightlyStudio is the data hub - curate, annotate, evaluate and visualize. LightlyTrain turns that data into production models

Find the samples worth labeling.

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.

Automatic embeddings on index
Text and image similarity search
Six sampling strategies, one query
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Label and QA your data in one place.

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.

Annotate and QA in one place
Object-level search
SAM3 and LightlyTrain auto-labeling plugins
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Know exactly where your model breaks.

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.

Detection, classification and segmentation
Confusion matrix built in
Versioned annotations
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Add or vibe-code your plugins.

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.

SAM3 and LightlyTrain, ready to install
Video bounding box propagation
Build your own with the Python API
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Work on the same dataset, together.

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.

Role-based access for your team
Viewer, Labeler, Editor, Admin roles
Centrally managed cloud credentials
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Get your data out, in the format you need.

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.

COCO, YOLO, Pascal VOC and more
Full dataset or filtered subset
GUI or Python, your choice
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Integration

Fast & Easy Integration Into Your ML Pipeline

Lightly’s suite of tools integrates into your existing machine learning pipeline, facilitating data curation, model training, and deployment processes.

Testimonials

Built for real-world computer vision

Teams shipping Physical AI use Lightly to get from raw sensor data to a deployed model — in the field, on the line, and at the edge.

3x

Faster Model Iteration Cycle
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2M+

Curated Images
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Improved performance YOLO-based models
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DINOv3

Object Detection Pipeline Beating Prior Baselines
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2.3M

Frames Processed In 1 Month
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10%

Model Accuracy Improvement
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3D

SSL Training Pipeline with DINOv2
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82%

Precision on Herd Size Estimation
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2x

Model Deployment Efficiency Gains
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36%

Model Accuracy Improvement
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50%

Reduced Retraining Process Time
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80%

Reduction in Annotation Costs
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Explore Lightly Products

LightlyStudio

Data Curation & Labeling

Curate, label and manage your data
in one place

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LightlyTrain

Self-Supervised Pretraining

Leverage self-supervised learning to pretrain models

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LightlyServices

AI Training Data for LLMs & CV

Expert training data services for LLMs, AI Agents and vision

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Start with the data that matters

Join the growing community of ML engineers using Lighlty.ai to build efficient, accurate computer vision systems form data curation to deployment

You Are Invited: Join Lightly's Private ML Engineering Discord

Want in? Collaborate with 300+ ML engineers optimizing data for their AI models.

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