Versatility
Handle 2D/3D images, videos and LiDAR point clouds.
Industry
Documents
Keylabs: transforming document AI with accurate data annotation
Data annotation plays a crucial role in document annotation applications by providing the necessary information for training machine learning models. It involves labeling and tagging data to make it meaningful and interpretable for the algorithms. Data annotation tools simplify and streamline this process.
Applications
Data annotation tools
Some common applications of document annotation include:
01 / Invoice annotations
Annotation tools enable organizations to extract critical data from invoices automatically and with significantly enhanced accuracy. Machine learning algorithms automatically extract key information — vendor name, invoice number, due date, and total amount — reducing errors and saving time.
02 / Newspapers & magazines
Document annotation in the newspaper industry improves search capabilities within published content. Annotation tools help readers locate information quickly and track mentions of people, events or locations across time frames.
03 / Legal documents
Data annotation enables contract analysis and identification of critical information from legislations, statutes, and rules. This significantly reduces the time it takes to review contracts and other legal documents while also improving accuracy through document classification.
04 / Tax documents
Data annotation tools designed for document annotation help categorize and tag tax documents for easy retrieval. OCR (optical character recognition) extracts relevant information automatically, saving time and ensuring compliance with tax regulations.
05 / Content moderation
Content moderation is essential for any business dealing with user-generated content. It involves screening, filtering, and removing inappropriate content to ensure that the platform stays safe for all users, avoiding reputational damage or legal liability.
Platform requirements
Key features
There are several key features that a robust data annotation tool for documents should possess:
Precision
High-quality annotations for AI model accuracy.
Scalability
Scalable for large datasets, reducing training time.
Automation
ML-powered automation of annotation workflows.
Collaboration
Team collaboration for consistency and speed.
Quality control
Built-in review and verification features.
Customization
Flexible customization for unique needs.
Integration
Seamless ML framework integration.
Data security
Privacy protection throughout the process.
Applications
Use cases
Invoice annotations
Keylabs streamlines invoice processing with precise annotation, enhancing efficiency and accuracy in financial documentation.
Box & line
Newspapers and magazines
For newspapers and magazines, Keylabs offers detailed annotation, enabling advanced content analysis and digital archiving.
Multi-type
Legal documents
Keylabs excels in annotating legal documents, ensuring meticulous accuracy for reliable reference and efficient case management.
Box & polygon
Tax documents
In tax document handling, Keylabs provides precise annotations, facilitating streamlined tax processing and compliance management.
Box & line
Expense reporting
Keylabs transforms expense reporting with accurate document annotation, simplifying financial tracking and reimbursement processes.
Box & line
Receipts
With Keylabs, receipt annotation becomes more efficient, enhancing data extraction for accurate expense categorization and analysis.
Multi-type
Privacy first
Data security
Using the Keylabs annotation tools comes with a commitment to data safety. Keylabs employs a range of security measures to protect valuable and sensitive data. This includes comprehensive infrastructure security if you choose to access Keylabs through the cloud. Alternatively, Keylabs can be installed on premises, guaranteeing you total control over access. We will continue to emphasize data protection as a priority by utilizing a diverse array of security measures and industry best practices.
Learn more
Platform
Top features
Keylabs is created as a platform that incorporates state-of-the-art, performance oriented tools and processes.
ML assisted data annotation
Keylabs is a streamlined data labeling platform with AI-enhanced annotation. Tailored for easy integration with any client model and time & cost efficiency. Keylabs' advanced algorithms provide quick, accurate data prep for superior model training.
3D tool
Keylabs is a super-fast tool, soaring through Lidar files at ultra speeds. It seamlessly handles all file formats, ensuring a consistent, efficient workflow regardless of file complexity.
High performance video annotation
With the Keylabs platform's technical and software capabilities, video annotation is highly accurate (precision of up to 99.9% depending on project needs) and fast.
Magic wand
Speeds up the annotation process by automatically detecting closed shapes of the same color or color gradient in a highly precise manner.
Object interpolation
Object interpolation accelerates annotation across a sequence of frames. Annotators label shape in the first and last keyframes, and the algorithm automatically generates labels for intermediate frames.
A-Z order
Objects can be placed on different leveled layers, which allows operators to correctly detect and work with those objects and their boundaries.
Multilayer annotation
Multilayer annotation allows multiple diverse annotations on a single piece of data such as an image or video frame, enriching the dataset with multiple facets of detail.
Object linking
Connects different instances of the same object across multiple frames or images, ensuring continuity and consistency of the annotation.
Hierarchical attributes
Using attribute hierarchies, it is possible to define structures of metadata for each item in the dataset using dependent attributes.
Workflow and task distribution
Workflow includes custom stages of annotation, verification, and final delivery. Task distribution ensures the right work goes to the right team member.
Data management
Data management is about strategically handling and organizing data throughout its lifecycle, from collection to annotation to archival.
Attributes interpolation
Attributes metadata can be interpolated between frames, automatically estimating object properties across keyframes.
Toolkit
Annotation types
Keylabs gives developers access to a full suite of annotation techniques:
Bounding box
A rectangular box defined by coordinates that encapsulates an object of interest within an image.
Oriented bounding box
A rotated rectangle that tightly encloses an object, accommodating its orientation and shape more precisely than a standard bounding box.
Polygon
A closed plane figure made up of several line segments joined together, used to define irregular shapes in an image.
Points
The point annotation tool places dots on images or videos, ideal for highlighting details like facial features, expressions and body postures.
Lines & multilines
Annotate linear structures like lane markings, cables and roads using straight or multi-segment lines.
Skeletons
Define custom skeleton topologies with any number of joints and connections for pose estimation and motion tracking.
Cuboid
3D bounding box capturing depth, height and width — essential for autonomous driving and AR/VR applications.
3D point cloud
Annotate LiDAR and 3D scene data with spatially-referenced points for high-fidelity spatial understanding.
Semantic segmentation
Pixel-level classification where every pixel in the image is assigned to a class label.
Instance segmentation
Pixel-level classification that distinguishes between multiple instances of the same object class.
Bitmap
Pixel-wise raster mask annotation allowing for highly precise object boundaries and gaps.
Mesh
Interconnected vertices forming polygonal structures — ideal for 3D reconstructions and digital twins.
Custom
Combine any of the above annotation techniques to accomplish specific annotation goals for your project.
Compliance
Enterprise-grade. Built for trust.
Keylabs meets the highest standards of data security and privacy.
