What is Keylabs?
Keylabs is a cutting-edge data annotation platform that revolutionizes the preparation of visual data for machine learning applications. The platform integrates state-of-the-art annotation tools with built-in machine learning capabilities, enabling high-precision labeling for images and videos.
The platform stands out with its ML-assisted annotation features, advanced 3D tools, and high-performance video annotation capabilities. With GDPR compliance and ISO certifications, Keylabs ensures data security while offering customizable solutions that seamlessly integrate with any client model for optimal efficiency and accuracy.
Features
- ML-assisted Annotation: AI-enhanced labeling with client model integration
- 3D Tool: Ultra-fast processing of Lidar files with multi-format support
- Video Annotation: High-performance labeling with up to 99.9% precision
- Magic Wand: Automatic detection of closed shapes with color gradient
- Object Interpolation: Automated labeling across video frame sequences
- Multilayer Annotation: Complex annotation with multiple information layers
- Data Management: Strategic handling and organization of annotation lifecycle
- Workflow Distribution: Custom project stages with efficient task management
Use Cases
- Autonomous driving data preparation
- Medical imaging analysis
- Security system enhancement
- Agricultural monitoring
- Retail and fashion product recognition
- Manufacturing quality control
- Document processing automation
- Aerial imagery analysis
FAQs
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What types of data formats does Keylabs support?
Keylabs supports all dataset formats, including image, video, and Lidar files, making it compatible with various industry requirements. -
What security certifications does Keylabs have?
Keylabs is GDPR compliant and holds ISO 270001:2014 and ISO 9001:2015 certifications, ensuring high standards of data security and quality management. -
What is the accuracy level of video annotation?
Keylabs offers video annotation with precision of up to 99.9%, depending on project needs.
