Annotation Services
PIXEL PERFECT VIDEO AND IMAGE ANNOTATION SERVICES
We are a leading annotation service provider thanks to our proprietary annotation platform and our professional in-house annotation team.
VIDEO ANNOTATION
We specialize in annotating videos and creating consistent high-quality data for your machine learning models.
Our platform supports complex tasks such as object tracking on multiple videos and attribute hierarchy. We process videos of any size by using bounding boxes, points, lines, polygons, and multi-segment lines to markup video frames.
IMAGE ANNOTATION
We create superior quality data that is backed by excellent customer service. We work with you to find the best strategy for your project. By combining advanced tools with in-house professional annotators, we guarantee incredible results.
DATA COLLECTION
You no longer need to crawl the web, manage a crowd of workers, or contact individual data vendors yourself.
We collect the data for you. If the data doesn't exist, we will create it in our production studio.
DATA CREATION
Creating image and video data based on your specifications.
Bespoke dataset creation empowers AI developers by allowing them to specify and access image and video data that fits the particular needs of their models.
IMAGE ANNOTATION
Our annotations can have different precision levels up to "pixel perfect". All 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.
BOUNDING BOX ANNOTATION
ROTATED BOUNDING BOXES
CUBOID ANNOTATION
POLYGON ANNOTATION
SEMANTIC SEGMENTATION
SKELETAL ANNOTATION
KEY POINTS ANNOTATION
LANE ANNOTATION
INSTANCE SEGMENTATION
BITMASK ANNOTATION
CUSTOM ANNOTATION
3D POINT CLOUD ANNOTATION
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced data annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
Keymakr’s advanced video annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs.
Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments.
3D point cloud annotation is a process of labeling and annotating the objects present in a 3D point cloud for use in AI projects such as computer vision and machine learning. Point clouds are sets of data points in a 3D coordinate system that represent the surface of an object or scene captured through sensors such as LiDAR or RGB-D cameras.
Annotating 3D point clouds is essential for object recognition, tracking, and scene understanding. The process involves labeling each point with attributes such as object class, size, shape, orientation, and position. This annotation process allows AI models to learn from the data and accurately detect and track objects in real-world scenarios.
VIDEO ANNOTATION
Annotation of videos
Keymakr's technology allows for the easy annotation of videos of any length and size with 99.9% precision. Our platform capabilities include:
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.
OBJECT TRACKING
Every object in every video frame can have multiple attributes assigned to it.
Changing the value of the attribute on a "key frame". "Key frame" means frames where 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.
How we work
Facial Recognition
Autonomous Vehicles
Data Collection
Data Creation
Medical Annotations
Facial Recognition
Challenge: Identifying specific people by security camera
20 million images of people from various ethnicities were collected and annotated by our team. Face landmarks and attributes were marked for each image: eyes, nose, brows, emotions, etc. As a result the model was able to recognize individual faces from different angles, even in a crowd.
Autonomous Vehicles
Challenge: learning how to track in-car behavior of the drivers and passengers.
2500 hours of in-car video footage of various people driving were collected and annotated. 20,000 images of streets from major US and European cities were segmented with a pixel-perfect precision: cars, trees.
Data Collection
We have developed proprietary tools and techniques for a faster and more efficient data collection process. Doing so has increased our speed and capacity for mass data collecting.
Data Creation
We have developed proprietary tools and techniques for a faster and more efficient data creation process. Doing so has increased our speed and capacity for mass data creation.
Medical annotations
Challenge: Brain tumor recognition by AI.
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.
Our Partners & Clients
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