Our Services

Video Annotation

We specialize in video annotations and put a great deal of effort into creating and perfecting our proprietary annotation tools. Every frame of your video footage can be annotated faster and in a very precise manner. We process videos of any size while using bounding boxes, points, lines, and multi-segment lines to markup video frames.

Object tracking: we label and track objects in all the video frames while keeping the object’s attributes or, if needed, they can be changed at any moment.The result: high-quality and consistent data for your machine learning models.

Image Annotation

Keymakr specializes in custom annotations and therefore offers superior quality and cost-effective image-based training data sets. By combining advanced tools with in-house professional annotators, we guarantee the best results.

Annotations can have different precision levels up to "pixel perfect". All the projects are managed by machine learning experts that understand exactly how your data should be labeled. As a result, we offer high-quality and consistent data for your machine learning models.
We tackle projects of any complexity.

Professional Annotation

Are you in need of certified industry professionals to annotate your data? No worries, we offer different skill levels of professional annotators: from dedicated trained teams to certified doctors.
We have it all covered.

Facial Recognition

The training data sets can consist of millions of images of subjects from various angles "close-ups" with facial annotations.

Facial Point Annotation

Facial Point Annotation

Precise point placement in strategic areas of the face.

Polygon

Polygon

Marking precise object shape in the images by segmenting every part of the face with a different color (label) and adding a separate attribute to that selection.

Custom Facial Annotation

Custom Facial Annotation

Our in-house RnD team can create a completely new facial annotation type specific to your project and develop the tools to perform this annotation for your machine learning model.

Video annotation

Object Tracking
Video Annotation

Keymakr's technology allows to easily annotate videos of any length and size with 99.9% precision. The annotation may consist of, but not limited to:

  • Object recognition and tracking in multiple frames.
  • Tracking of numerous objects.
  • Object recognition by attributes: ID number, license plate, mugshot of a person, or any other attribute.
  • Tracking of multiple attributes per object while enabling the possibility of changing the attributes on the "key-frame".
  • Tracking of an object through all frames of the video by a certain attribute such as a license plate or a face mugshot.

Objects may disappear from the frame and re-enter it later on, this fact will be detected, and the tracking will continue with the same Object ID and attributes previously assigned.

See Example on Youtube

Multiple Attributes per Object
Object tracking

Each object on the video frames can have multiple attributes assigned to it.

  • Changing the value of the attribute on a "key frame". "Key frame" means the frame were any attribute or parameter changes. It can happen at any time and only the relevant attribute or parameter is adjusted on the "key frame" while the rest remain the same.
  • While the object's ID and the rest of the attributes stay the same, we continue to track the object with the new attribute until the next "key frame", when another attribute changes.

See Example on Youtube

Case Studies

Medical Annotation
Medical Annotations

Challenge: training AI to recognize brain tumors.

For this medical project, we provided the client with overall 3500 MRI scans - head sections with brain tumor and those with a healthy brain. All the images were annotated by certified radiologists who specialize in tumor diagnosis.

Download PDF

Facial Recognition
Facial Recognition

Challenge: Face recognition by security camera.

20 million images of people from various ethnicities were collected and annotated by our team. For each image, there were a number of face landmarks and attributes marked: eyes, nose, brows, emotions, etc. Result: security camera AI was able to recognize individual faces from different angles, even in a crowd.

Download PDF

Automous Vehicles
Autonomous Vehicles

Challenge: learning how to track in-car behavior of the driver and passenger.

500 hours of in-car video footage of various people driving were collected and annotated. 20,000 images of streets from the US and Europe's major cities were segmented with a pixel-perfect precision: cars, trees, sky, and road signs.

Download PDF

Automous Vehicles
Data Collection

We have developed proprietary tools for a faster and more efficient way to collect data. By doing so, we have reduced the time and increased our capacity to process the mass collection of data. We offer to find and collect images or videos from open sources available online, in an efficient and productive way.

Download PDF

Medical Annotations

Medical Annotations

Challenge: recognizing brain tumors by AI.

For this medical project, we provided the client with two types of MRI Scans. 2000 MRI scans of the head section with a brain tumor, and 1500 MRI scans of the head section of a healthy brain without the brain tumor. All the images were annotated by certified radiologists who specialize in tumor diagnosis.

Keymakr's input was used to train the medical AI computer vision model to recognize brain tumors with extremely high accuracy.

Learn More

Facial Recognition

Facial Recognition

Challenge: Recognition of individual faces by a security camera.

Keymakr collected and annotated more than 20 million images of various people. For each person's image, there were a number of attributes to track: eyes, nose, brows, etc.

Result: security camera AI was able to recognize individual faces from different angles, even in a crowd.

Learn More

Autonomous Vehicles

Autonomous Vehicles

In-Car Behaviour:

Proving 500 hours of annotated in-car video footage of various people driving. Goal: learning how to track in-car behavior of the driver and passenger.

Autonomous Vehicle Computer Vision:

Segmented 20,000 images of streets from US and Europe major cities. Images were pixel-perfect segmented by: cars, trees, sky, and road signs.

Learn More

Autonomous Vehicles

Data Collection

Challenge: find and collect raw data required for creating annotated data sets.

We have developed proprietary tools for a faster and more efficient way to collect data. By doing so, we have reduced the time and increased our capacity to process the mass collection of data. We offer to find and collect images or videos from open sources available online, in an efficient and productive way.

Learn More

Download Samples

Bounding Box Annotation

Bounding Box Annotation

Marking objects on the image or video in bounding boxes and tracking selected objects through all the frames with the video.

Download sample

Skeletal Annotation

Skeletal Annotations

Selecting strategic joints of the objects on an image and video - Human movements are being tracked through each frame of the video.

Download Sample

Polygon Annotation

Polygon Annotation (Contour)

Annotating precise object shapes in an image, for both irregular shaped objects and coarse.

Download Sample

Segmentation

Segmentation

Partitioning a digital image into multiple segments (sets of pixels, also known as image objects). Each segment has a color and attributes of its own.

Download Sample

Point Annotation

Landmark Point Annotation

Manually defining and marking regions in an image and creating text-based descriptions of those regions. This is the initial and most crucial first step in building the ground truth to train computer vision models.

Download Sample

Road surface

Polyline annotation

Marking lane boundaries from edge-to-edge using popyline annotation. This allows the identification of drivable spaces and lane spaces for proper navigation on the road.

Download sample

Testimonials

Testimonials

We collaborate with ambitious people and companies. Let's talk.

Thank You.

We will contact you shortly!

Error.

We encountered an error submitting your form. If you continue to experience this issue please contact us directly at hello@keymakr.com.