Quality results from a team of annotation experts
Tap into decades of annotation experience from the team that created the Keylabs image annotation tool.
Platform capabilities
Features and capabilities
Built by annotators, for annotators
The Keylabs image and video annotation tool was built by annotation specialists to give you more control and visibility over your projects.
Toolkit
Everything you need, built in
12 capabilities that make the Keylabs platform the go-to choice for data annotation teams.
ML assisted data annotation
Data labeling platform Keylabs is enriched with ML-assisted annotation capabilities. Designed to integrate seamlessly with any client model, it optimizes efficiency in both time and cost. Using advanced algorithms for initial annotations, the platform ensures swift and precise dataset preparation, paving the way for exceptional model training outcomes.
3D tool
A 3D point cloud is considered to be a more complex type of annotation, because it is already about 3D. From some types of cameras, information comes in three-dimensional scanning of space and not in the form of videos and pictures. Basically, we are now talking about Lidar - this is a radar, a device that receives a three-dimensional description of objects. This is a slightly more complex annotation level.
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. Thanks to the geolocation adaptation of servers, even big-sized videos are loaded and processed quickly.
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 in the data annotation process is a handy technique used to accelerate the annotation of objects across a sequence of frames in video annotation.
Here's how it works: annotators label the shape of an object in the first and the last keyframe of desired sequence and the object interpolation algorithm automatically generates the labels for the object in the intermediate frames.
This technique saves time and also ensures consistent labeling across frames. Essentially, object interpolation bridges the gap between initial and final frames, smoothing the overall data annotation process.
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
A 3D point cloud is considered to be a more complex type of annotation, because it is already about 3D. From some types of cameras, information comes in three-dimensional scanning of space and not in the form of videos and pictures. Basically, we are now talking about Lidar - this is a radar, a device that receives a three-dimensional description of objects. This is a slightly more complex annotation level.
Object linking
Object linking in the data annotation process is a valuable function that connects different instances of the same object across multiple frames or images. Essentially, it establishes a relationship between the same entity appearing in different parts of a data sequence.
For example, in video annotation, an object appearing in different frames is linked throughout the video, ensuring the continuity and consistency of the annotation. This function is particularly useful in tracking movement or changes in an object's state over time. With object linking, the accuracy and coherence of the annotated data significantly improve, making it highly beneficial for training more precise and reliable machine learning models.
Hierarchical attributes
The attribute is a type of tag that can be applied to a class or property to provide metadata about it.
Using attribute hierarchies, it is possible to define structures of metadata for each item in dataset.
It is achieved by using dependent attributes, which allows logical forming of metadata information for frame or object individually.
Workflow and task distribution
Workflow includes custom stages of one of 4 project stage types: annotation, verification, miscellanious and final.
On the other hand, task distribution is about assigning specific tasks to different team members based on their skills and the requirements of the project. Good workflow and task distribution ensure that the data annotation process is smooth, efficient and completed within the required timeframe. It also helps in maintaining the quality of annotated data as each task is performed by the most suitable team member.
Data management
Data management in the context of the data annotation process is about strategically handling and organizing the data throughout its lifecycle. From the initial phase of data collection, where raw data is sourced, to preprocessing, where it's cleaned and formatted for annotation, each step requires careful management. Further along, it involves controlling the annotation process itself to ensure that tasks are completed accurately and within the set timeframes.
Additionally, it includes maintaining a record of the annotated data and its corresponding metadata for future reference and use. Effective data management helps to uphold data integrity and ensure that the final annotated data is accurate, consistent and ready for use in AI and machine learning projects.
Attributes interpolation
Attributes metadata can also be interpolatable (changed) between the frames. For instance, In a self-driving car video annotation, this can label a car as a "sedan" going "30 mph" in the first frame & automatically estimate its type & speed in subsequent frames until the next key frame. This eliminates the need for manual annotation in each intervening frame, saving time & effort.
Powered by SAM 2
Intelligent automation
Keylabs features ML-assisted annotation capabilities, which includes tracking objects across frames in a video. Designed to integrate seamlessly with any client model, it optimizes efficiency in both time and cost. Using advanced algorithms like SAM 2, the platform ensures swift and precise dataset preparation, paving the way for exceptional model training outcomes.
01 / ML assisted
Data labeling platform Keylabs is enriched with ML-assisted annotation capabilities. Designed to integrate seamlessly with any client model, it optimizes efficiency in both time and cost. Using advanced algorithms for initial annotations, the platform ensures swift and precise dataset preparation, paving the way for exceptional model training outcomes.
02 / Automatic tracking
Automatic object tracking with bitmask leverages the power of SAM 2 to identify, segment and track objects across video frames. This build in capability of Keylabs.ai allows the system to follow objects' movements accurately, even in dynamic environments or when objects overlap. Applications include surveillance, autonomous vehicles, sports analysis, and other industries where real-time tracking and segmentation are crucial for enhanced decision-making and user experiences.
Verticals
Industries we serve
Keylabs is created as a platform that incorporates state-of-the-art, performance oriented and user friendly annotation tools with built in machine learning and operation management capabilities.
Automotive
Driving the future of automotive intelligence, our data annotation solutions equip vehicles with the precision to navigate tomorrow's roads.
Aerial
Elevating the world of aerial technology, our annotations provide the clarity and accuracy that drones and aircraft systems demand.
Retail & Fashion
Keylabs' platform offers insights that transform shopping experiences and fashion-forward innovations.
Robotics & Manufacturing
Catalyzing advancements in robotics and manufacturing, our data annotation tools instill machines with the finesse and understanding to craft the future.
Sports
Elevating athletic performance and fan engagement, Keylabs' data annotation services decode intricate movements and moments that define the game.
Agriculture
Nurturing the future of farming with insights from data, Keylabs' annotation tools pave the way for smarter, more sustainable agriculture solutions.
Security
Reinforcing the pillars of safety and vigilance, Keylabs data annotation platform sharpens security systems, ensuring unwavering protection.
Medical & Healthcare
Bridging healthcare innovations with data precision, Keylabs' annotation tools empower medical applications to diagnose, treat and care with unbiased clarity.
Livestock management
Streamlining livestock management through informed datasets, Keylabs' annotation tools optimize herd health, productivity and overall farm efficacy.
Waste management
Championing sustainable futures, Keylabs' data annotation services enhance waste management systems, ensuring efficient resource utilization and environmental protection.
Document annotation
Revolutionizing the world of document processing, Keylabs' data annotation tools provide nuanced insights, turning raw texts into structured actionable intelligence.
Construction
Building the infrastructures of tomorrow, Keylabs' data annotation tools fortify construction processes with precise insights, ensuring projects are safe, efficient and cutting-edge.
Logistics
Fueling the backbone of global commerce, Keylabs' data annotation platform refines logistics applications, guaranteeing timely deliveries and optimized supply chains.
Why Keylabs
A powerful tool for data annotation
Data annotation tool pricing
Keylabs offers competitive video and image annotation tool pricing for AI developers. Choose a smaller flexible package or take advantage of our volume based discounts. In our demo call we evaluate the needs of your project and identify the pricing options that are right for you.
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Transparent Plans & Pricing with No Hidden Fees!
Compliance
Enterprise-grade. Built for trust.
Keylabs meets the highest standards of data security and privacy.
GDPR
ISO 27001
Inception
