Human Teaching
for Machine Learning

High-quality training data solutions, seamlessly integrated with your workflows. Human-verified annotation and model output validation.

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real-time data annotation

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Annotation
Types

01. Automatic Annotation

Machine-learning assisted annotation with quick and accurate data preparation. We use our streamlined data labeling platform to provide efficient high-quality annotation for superior model training.

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Automatic Annotation

02. Bounding Box

This is the most common annotation type. Our team uses boxes around targeted objects to mark them for computer vision. It’s quick and effective, however, it doesn't provide as much detail as other methods.

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Bounding Box Annotation

03. Oriented Bounding Box

A more accurate method of portraying objects that aren’t aligned with the horizontal or vertical axes of an image. This helps precisely mark the orientation of your object and creates accurate datasets.

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Oriented Bounding Box

04. Cuboid

This method extrapolates three-dimensional objects from images, adding depth, width, and height to them. This is achieved with 3D bounding boxes, or cuboids, that create a nuanced understanding of scenes.

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Cuboid Annotation

05. Polygon

Used for outlining complex shapes, this method employs connecting small lines to precisely define the exact shape of your object. Often used for complex images where nuance matters, such as medical data.

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Polygon Annotation

06. Semantic Segmentation

Separates pixels in an image into classes for accurate annotation. Objects are carefully outlined to capture their shape, then annotators label them along with backgrounds such as the sky, ground, and so on.

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Semantic Segmentation

07. Instance Segmentation

Further enriches training data by separately identifying each time an object occurs and highlighting its properties. So, every instance of an object will get a separate label and highlight color for accuracy.

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Instance Segmentation

08. Skeletal

Commonly used for recognizing humans, we attach lines to images to mark limb positions and body types. Skeletal annotation trains AI to understand things like movement, shape, and posture.

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Skeletal Annotation

09. Key Points

This very granular method is most often used for important elements such as facial structures. Individual points are used for labeling features such as nose, lips, eyes, and so on - with specific characteristics for accuracy.

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Key Points Annotation

10. Lane

Annotators trace lanes of specific lengths across an image to identify common elements such as roads, railway tracks, pipelines, and other linear structures. Often employed in logistics and autonomous driving.

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Lane Annotation

11. Bitmap

Links individual pixels to specific objects - allowing you to accurately mark objects in images that contain large gaps. For example, if your object is cut in half by something else in the foreground, you can accurately mark that.

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Bitmap Annotation

12. 3D Point Cloud

Some sources already provide more nuanced 3D data for processing. In this case, we are annotating data that helps us create 3D representations of objects and their relationships with each other in a reconstruction.

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3d point cloud Annotation

13. Custom

We can combine different techniques to create unique datasets for specific computer vision applications. AI models are incredibly diverse, so we remain flexible and ready to create clean data for your needs.

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Custom Annotation

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Industries
We Serve

Keymakr has extensive experience providing affordable data tailored to different industries. Find what works best for you:

Waste
MAnagement

Medical
& Healthcare

Document
Annotation

Automotive • Aerial • Retail • Robotics • Sports • Agriculture • Agriculture • Security • Medical & Healthcare • Livestock management • Waste management • Document annotation • Construction • Logistics

Reviews
on

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leader

"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

"Great service, fair price"

bility to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

Our
Services

Find the right solution for your training needs and work with us to make your AI model a reality!

01 Image Annotations

Image Annotations

Outsourcing data annotation to dedicated services, like Keymakr, saves computer vision developers time. It also guarantees high-quality and responsive image annotation. Human workers must locate, outline and label objects and people in order to annotate images. A wide variety of images require this careful annotation treatment.
Consequently, Keymakr employs a large team of experienced annotators who construct exceptional datasets, according to the most demanding specifications.

02 Video Annotations

Video Annotations

We work with a diverse range of media to create precise, human-annotated training datasets.
Our expertise with video annotation and labeling allows us to craft custom machine learning datasets that meet the demands of your project.

03 DATASET VALIDATION

DATASET VALIDATION

Improve the accuracy of your existing models.
We verify and correct your algorithmic outputs, including: bounding boxes, polygon annotation, instance segmentation, semantic segmentation, and all other annotation types. Quality training data plays an important part in developing computer vision.

04 Object Classifications

Object Classifications

We assign objects to different classes in images or videos, and help to train machine learning models to recognize objects in any context.

05 DATA COLLECTION

DATA COLLECTION

At Keymakr we are conscientious about collecting data from reputable and legal sources.
We exclusively use open source data to ensure the highest quality and transparency for our clients.

06 DATA CREATION

DATA CREATION

Keymakr studio supports the development of transformative technology by creating image and video data based on your specifications.

07 CODE VULNERABILITY DETECTION BY SOFTWARE ENGINEERS

CODE VULNERABILITY DETECTION

Software developers actively use LLM's for code generation. Our team of professional software developers can check and validate code for vulnerabilities and security loopholes.

Our
Advantages

Work with us to attach a powerful pipeline of actionable data to your machine learning and computer vision applications!

PROPRIETARY TECHNOLOGY

Our R&D team constantly develops and perfects our annotation tool. This means we successfully tackle projects with any requirements.

SUPERIOR QUALITY

3 layers of human quality verification, combined with a final layer of auto quality control scripts, ensure remarkable results.

SCALABLE

Quick results with high throughput. The work force is easily increased if needed. From 10,000 annotations to 100,000 and more, we've got it covered.

Cost Effective

We assign objects to different classes in images or videos, and help to train machine learning models to recognize objects in any context.

Secure

We always collect data from reputable and legal sources. Keymakr is GDPR compliant, ISO 9001, and ISO 27001 certified. Data created or sourced by us is high-quality and ready to be used in your models.

In-House Team

Keymakr studio supports the development of transformative technology by creating image and video data based on your specifications.

PROPRIETARY TECHNOLOGY

SUPERIOR QUALITY

Meet
Keylabs

We created a proprietary annotation platform with enterprise-grade tools capable of achieving pixel-perfect labeling for all your AI training datasets.

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Keylabs can help you handle annotation projects of any complexity. Our platform was originally created for internal use, so usability and quality are main priorities. Keylabs features a full suite of annotation techniques that can be adapted for your specific needs.

You can work with projects of any size and label vast quantities of data. The in-built management tools will help you collaborate on projects and get the most out of your data.

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