Labelbox provides a data annotation platform for creating training datasets across images, video, text, and audio. Teams can design labeling workflows, manage tasks, and run quality control with review steps and performance metrics. Collaboration tools support large labeling teams, while integrations with ML frameworks enable model training and iteration. The platform scales for enterprise data volumes and supports secure, compliant data handling. Key capabilities: Multi-modal annotation for image, video, text, and audio Workflow management and task assignment QA review and performance metrics Collaboration for distributed labeling teams Integrations with ML training stacks Best for: AI teams building high-quality labeled datasets.
Does Data Annotation Platform have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
7
1. Amazon Mechanical Turk: A crowdsourcing platform that enables users to easily outsource data annotation tasks to a global workforce.
2. Scale AI: A data labeling service that provides high-quality annotations for training machine learning models.
3. CloudFactory: A data annotation platform that combines technology and human workers to efficiently label and validate data for AI applications.
4. SuperAnnotate: An annotation tool that streamlines the labeling process with features like auto-labeling
smart segmentation
and collaborative annotation.
5. LabelMe: An open-source data annotation tool that allows users to create and share annotated images for computer vision research.
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Email Address
support@labelbox.comDocumentation
https://docs.labelbox.com/Community Forums
https://community.labelbox.com/