Accelerate data annotation for computer vision by 15x using AI-powered auto-labeling, automated QA, and seamless team collaboration for machine learning teams.
Keylabs
Streamline the preparation of visual data for machine learning with AI-enhanced annotation tools for high-precision image and video labeling at scale.
Free plan available
$3,648/mo
About Keylabs
Keylabs is a comprehensive data annotation platform designed to accelerate the preparation of high-quality visual datasets for machine learning models. The platform provides a suite of advanced tools for both image and video labeling, emphasizing precision and operational efficiency. By integrating machine learning directly into the annotation workflow, Keylabs helps teams automate repetitive tasks and improve the accuracy of ground truth data. It is built to handle complex requirements, such as high-resolution files and intricate video sequences, making it a robust choice for enterprises developing sophisticated computer vision applications. The software features specialized capabilities like attribute interpolation across multiple video frames and hierarchical attribute management, which significantly reduces the manual effort required for video-based projects. Users can manage large-scale operations through built-in distribution mechanisms for annotation jobs, comprehensive reporting, and version control. Keylabs also offers a unique workforce service, providing access to expert annotators pre-trained on the platform, which allows companies to scale their data processing without the overhead of recruiting or training internal staff. This platform is ideally suited for machine learning engineers, data scientists, and project managers in industries where precision is non-negotiable, such as autonomous driving, medical diagnostics, and security monitoring. It supports a wide range of data formats and offers a CLI SDK for seamless integration into existing ML pipelines. Whether working on waste management, robotics, or logistics, the platform's ability to maintain high performance while handling large datasets ensures that training cycles remain efficient and results remain reliable. What distinguishes Keylabs from competitors is its balance of a feature-rich software interface with an integrated workforce solution and strong compliance standards. The platform is GDPR compliant and holds ISO 27001 and ISO 9001 certifications, ensuring data security and quality management. Its ability to perform interpolation over multiple frames in video annotation is a standout feature that directly addresses the bottleneck of temporal data labeling, providing a faster path from raw footage to trained models.
Keylabs pros & cons
Pros
- Supports attribute interpolation across multiple video frames to significantly speed up labeling tasks.
- Holds ISO 27001 and ISO 9001 certifications alongside GDPR compliance for high data security.
- Provides a dedicated team of expert annotators for hire to scale project capacity without internal hiring.
- Capable of handling very large annotation datasets and high-resolution media without performance drops.
- Offers a CLI SDK and version control for seamless integration into existing technical workflows.
Cons
- The starting price for paid packages is high, with the basic Startup plan costing over $3,600.
- Storage is limited to 10GB on the Startup tier, which may be insufficient for high-resolution video projects.
- The pricing model based on pre-purchased hour blocks may be complex for users with irregular needs.
Keylabs use cases
- Autonomous driving teams can use video interpolation and high-res tools to label complex street scenes for vehicle analytics.
- Medical researchers can utilize the platform's ISO-certified security to precisely annotate diagnostic imagery for AI-powered health models.
- Security firms can leverage ML-assisted labeling to process massive amounts of surveillance footage for threat detection training.
- Logistics companies can hire the pre-trained Keylabs annotation team to quickly process warehouse and sorting data.
- Agriculture tech developers can use hierarchical attributes to classify complex crop health and livestock data across diverse environments.
Keylabs features
- version control
- ml-assisted data annotation
- interface customization
- cli sdk for integration
- distribution mechanism for jobs
- high-resolution image and video support
- hierarchical attribute management
- attribute interpolation over multiple frames
Keylabs pricing
Is Keylabs free? Yes, Keylabs has a free plan, and paid plans start at $3,648 / month.
Free Trial
Free
- Access to annotation tools
- Experience platform performance
- Test image and video labeling
- Evaluate ML-assisted features
Startup
$3,648 / month
- Up to 10 non-admin users
- Up to 10GB storage
- 1500 usage hours included
- Hierarchical attributes
- Attributes interpolation
- Video and Image formats
- Comments and review mechanism
- Version Control
- High-resolution support
Business
$3,840 / 3 months
- Up to 50 non-admin users
- Up to 250GB storage
- 1500 usage hours included
- Hierarchical attributes
- Attributes interpolation
- User and Data management
- Merge functionality
- Distribution mechanism
- CLI SDK
Pro
$4,032 / 12 months
- Up to 300 non-admin users
- Up to 2TB storage
- 1500 usage hours included
- All Business plan features
- Advanced reporting
- Interface Customization
- Full version control
- Enterprise-grade dataset support
Keylabs FAQs
What types of data can I annotate with Keylabs?
Keylabs supports both image and video annotation, with specific tools designed for high-resolution files. It handles various dataset formats and offers specialized features like attribute interpolation over multiple frames for video labeling.
Does Keylabs offer assistance with the actual annotation work?
Yes, Keylabs provides a specialized service where you can hire a team of expert data annotators. These professionals are already skilled in using the Keylabs platform and can be deployed for projects in medical, waste sorting, and other niches.
What security certifications does the platform hold?
Keylabs is GDPR compliant and holds ISO 27001:2014 and ISO 9001:2015 certifications. This ensures that your visual data is handled according to international standards for information security and quality management.
How does the ML-assisted annotation work?
The platform features built-in machine learning algorithms that provide quick and accurate data preparation. It is designed for easy integration with your own models to enhance time and cost efficiency during the labeling process.
Can I manage large teams on the platform?
The platform includes comprehensive user and operation management tools, including a distribution mechanism for annotation jobs. It also features a comments and review mechanism to facilitate quality control across large datasets.
Ratings & reviews
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