Image Annotation
IMAGE ANNOTATION SERVICES
Bounding box annotation
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
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
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
Reveals body position and alignment. These are commonly used in sports analytics and security applications.
Key points annotation
Identify and mark the key points of any object. For example, eyes, nose, and lips on a human face.
Lane annotation
Most commonly used for annotating roads, pipelines and rails.
Instance segmentation
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
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
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.
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.
professional data annotation For Any industry!
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.
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.
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.
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
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.
Security
CCTV footage annotation, traffic monitoring, person or object tracking through multiple cameras and video frames.
Medical
Just tell us what your project requires, and we will deliver. We offer medical video collection and annotation by certified medical professionals.
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.
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.
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.
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.
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.
Sport
We annotate videos for sport analytics and fitness applications, tracking every change in body position and alignment.
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