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Features Label Studio
Configurable layouts and templates
This feature allows users to adapt their dataset and workflow to custom-determined models, enhancing working efficiency.
ML/AI pipeline integration
Through Webhooks, Python SDK and API, users can create projects, import tasks, manage model predictions, enhancing project management.
ML-assisted labeling
Save time by using AI-powered predictive modeling in the labeling process, improving results accuracy and reducing manual work.
Cloud storage connection
Directly label data in your S3 and GCP cloud storage, simplifying data management and accessibility.
Advanced Data Manager
Using advanced filters, prepare and manage your dataset in our Data Manager, having a better organization of your data.
Support for multiple projects and users
This feature allows teams to work on multiple projects, use cases and data types simultaneously, enhancing team collaboration.
Large Community Members
Being a part of a large community of Data Scientists offers networking opportunities and expert guidance for enhancing models.
Flexible and Configurable
Adaptability enables you to optimally design your labeling process and seamlessly integrates with your existing infrastructure.