Description
LightlyStudio is a unified data platform designed for multimodal machine learning, particularly in computer vision. It offers a comprehensive suite of tools for data labeling, curation, quality assurance, and dataset management. The platform is open-source at its core, making it accessible for ML engineers and organizations aiming to scale their computer vision projects.
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LightlyStudio is trusted by over 25,000 businesses and provides a seamless workflow from raw data to model evaluation. Users can curate, annotate, evaluate, and export data efficiently, with a Python API supporting every panel in the user interface. The platform allows users to filter data by metadata, search by text or image, and apply sampling strategies such as diverse coverage, deduplication, outlier detection, similarity, or class balancing.
The platform supports labeling and QA processes in one place, enabling users to create, edit, and review annotations directly. It integrates with SAM3 and LightlyTrain models for auto-labeling, facilitating quick and accurate data processing. LightlyStudio also offers evaluation tools that provide per-sample metrics and confusion matrices, helping users identify model weaknesses.
LightlyStudio is designed for collaboration, allowing teams to work on the same dataset with role-based permissions. It supports integration with existing ML stacks, offering SDK and API access for technical users, while providing intuitive tools for labelers and project managers. The platform is available in different deployment options, including open-source, Lightly-hosted, and on-premise solutions, catering to various organizational needs.
LightlyStudio emphasizes enterprise-grade security and compliance, being ISO 27001 certified and GDPR compliant. It facilitates data migration from other ML tools like Encord, Voxel51, Ultralytics, V7Labs, and Roboflow, ensuring flexibility and scalability for users.
- CategoryComputer Vision Tools
- Pricing ModelFreemium
- DeploymentCloud, On-Premise
- PlatformsOpen Source
LightlyStudio's Core Features
Integrated computer vision platform
Open-source framework
Data labeling and curation
Quality assurance tools
Python API support
Role-based team collaboration
Auto-labeling with SAM3 and LightlyTrain
ISO 27001 certification
How to use LightlyStudio?
Configure: Set up your workspace and roles
Curate: Filter and sample data for labeling
Annotate: Label and review data annotations
Evaluate: Run model evaluations and metrics
LightlyStudio's Use Cases
- Data Curation
- Annotation Management
- Model Evaluation
- Team Collaboration
- Auto-Labeling
