Image Annotation

IMAGE ANNOTATION SERVICES

Bounding box annotation arrow

Bounding boxes are one of the most commonly used and recognizable tools when it comes to image processing for image and video annotation projects.

Polygon annotation arrow

Polygon annotation is the go-to when it comes to irregular and complex shapes. It captures more lines and more angles than a regular bounding box.

Semantic segmentation arrow

Semantic segmentation treats multiple objects of a particular category as one collective entity. Objects shown in an image are grouped together based on defined categories.

Skeletal annotation arrow

Reveals body position and alignment. These are commonly used in sports analytics and security applications.

Key points annotation arrow

Identify and mark the key points of any object. For example, eyes, nose, and lips on a human face.

Lane annotation arrow

Most commonly used for annotating roads, pipelines and rails.

Instance segmentation arrow

Instance segmentation detects the instances of each category. It identifies individual objects within these categories. Categories like “vehicles” are split into “cars,” “motorcycles,” “buses,” and so on.

Custom annotation arrow

If your project requires a specific combination of annotation types, we can easily do that for you. Our innovative and experienced R&D team can evaluate your project and create a completely new annotation type based on your specific requirements.

Image labeling arrow

Let us handle your image labeling needs. Our team of in-house professional annotators can work with large amounts of data without sacrificing speed or quality. Our workforce and our proprietary annotation tools form a winning combination for any project. We can assure you that no matter how big your project is, we will have all the necessary resources and solutions to facilitate your work.

IMAGE ANNOTATION

Precise, scalable image annotation is a key element of any computer vision project. Annotators apply different annotation techniques to images in order to create datasets that meet the varied requirements of today’s AI innovators.

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BOUNDING BOX ANNOTATION

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POLYGON ANNOTATION

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SEMANTIC SEGMENTATION

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SKELETAL ANNOTATION

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KEY POINTS ANNOTATION

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LANE ANNOTATION

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INSTANCE SEGMENTATION

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Bitmask ANNOTATION

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CUSTOM ANNOTATION

BOUNDING BOX ANNOTATION

BOUNDING BOX ANNOTATION

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.

POLYGON ANNOTATION

POLYGON ANNOTATION

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.

SEMANTIC SEGMENTATION

SEMANTIC SEGMENTATION

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.

SKELETAL ANNOTATION

SKELETAL ANNOTATION

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.

KEY POINTS ANNOTATION

KEY POINTS ANNOTATION

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.

LANE ANNOTATION

LANE ANNOTATION

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.

INSTANCE SEGMENTATION

INSTANCE SEGMENTATION

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.

BITMASK ANNOTATION

Bitmask ANNOTATION

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.

CUSTOM ANNOTATION

CUSTOM ANNOTATION

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.

professional data annotation For Any industry!

IMAGE ANNOTATION WITH BOUNDING BOXES

IMAGE ANNOTATION WITH BOUNDING BOXES

Bounding boxes are rectangles used by annotators to frame objects in images so that they can be located by machine learning models.

Bounding boxes are used to define objects across a variety of industries, for example identifying cars and trucks in images of traffic for autonomous vehicles.

IMAGE ANNOTATION WITH POLYGONS

Polygon annotation adds additional granular detail to object annotation. Specific points are created around the outline of an object that are then connected with vertices. This allows annotations to capture complex and irregular shapes in images.

IMAGE ANNOTATION WITH POLYGON
SEMANTIC SEGMENTATION

SEMANTIC SEGMENTATION

Semantic segmentation divides images into sets of pixels that correspond to real-world categories. Using polygon lines annotators split images into classes, such as: road, sidewalk, building, sky.

INSTANCE SEGMENTATION

Instance segmentation adds additional levels of detail to annotations. Instance segmentation defines each instance of each object appearing in a given image. In practice this means that, for example, every car in an image of traffic will be outlined and labeled.

INSTANCE SEGMENTATION
IMAGE ANNOTATION WITH POINTS

IMAGE ANNOTATION WITH POINTS

This technique allows annotators to mark key points on any image. This annotation type is commonly deployed to locate facial features like eyes, noses, and lips.

IMAGE ANNOTATION WITH LINES

Line annotations are often applied to images of linear objects, such as: roads, pipelines, and electrical wires.

IMAGE ANNOTATION WITH LINES
SKELETAL ANNOTATION ON IMAGES

SKELETAL ANNOTATION ON IMAGES

This technique draws lines between points of articulation on the human body. Images annotated in this manner are used to indicate body position and alignment.

INDUSTRIES THAT WE SERVE

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Automotive

We can annotate videos that take place in a variety of weather conditions, in the day or the night, without missing a single detail.

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Security

CCTV footage annotation, traffic monitoring, person or object tracking through multiple cameras and video frames.

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Medical

Just tell us what your project requires, and we will deliver. We offer medical video collection and annotation by certified medical professionals.

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Robotics

From delivery robots to an “eye” in the production line, we can help you do it all. Our video annotation services are here to facilitate the countless applications of robotics AI.

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Aerial

There are many uses for drone AI, however, these models require high quality datasets. We annotate drone footage for agricultural applications, object tracking, advanced monitoring systems, disaster monitoring and management and more.

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Agriculture and Livestock Management

We have a wealth of experience with farm drone footage annotation, real time crop monitoring and ripeness detection, as well as video footage annotation from farm cameras for livestock management and counting.

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Waste Management

Video annotation for sorting facilities will help to identify what can and can’t be recycled without risking human exposure to potentially toxic or hazardous waste.

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Retail

The use cases for retail AI, trained through video annotation, are numerous. For example mapping customer’s paths through the store or tracking objects from security camera footage for loss prevention.

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Sport

We annotate videos for sport analytics and fitness applications, tracking every change in body position and alignment.

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G2 Reviews

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Aug 31, 2022

"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...

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Aug 16, 2022

"Great service, fair price"

Ability 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...

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Aug 12, 2022

"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...

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Aug 05, 2022

"Great annotation service by Keymakr"

Great experience to work with Keymakr. The team is very responsive, always provides excellent results, and with perfect quality control.

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Aug 22, 2022

"Great collaboration"

Keymakr is attentive to our needs making adjustments to fit our reality.
We worked together to establish an efficient information exchange and...

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