Sport

High-quality data labeling for the sports industry - from performance tracking to advertisement monitoring, injury prevention, and more.

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Expert Labeling
of Sports Data

Sports Data Annotation services for a wide range of computer vision applications.

AI is playing a leading role in raising performance across a range of professional sports. Detailed analytics and movement analysis are helping coaches and players improve tactically and technically.

AI is also at the core of a new generation of remote fitness applications. Apps and fitness mirrors can track and analyze body movements, helping athletes optimize home workouts.

Keymakr creates accurate image and video training datasets in partnership with industry leaders. Our experienced managers and skilled in-house annotation team are happy to meet the needs of today’s cutting-edge sport and fitness machine learning projects.

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Sport
Annotation Types

01. Automatic Annotation

Fast AI-assisted labeling for your athletes or objects of interest - our team will validate every single image or video frame for quality control.

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Automatic Annotation

02. Bounding Box

Label individual people as objects to help your AI distinguish between them and everything else in the same image.

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03. Oriented Bounding Box

More accurate labeling with an angled box to better convey proper positioning for the purposes of training your algorithm.

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Oriented Bounding Box

04. Cuboid

This technique helps add width and depth to a 2D image - extrapolating an approximate volume for AI to learn about.

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05. Polygon

Used for irregular shapes such as special equipment, weights, machines, individual parts of the athlete’s body, and so on.

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06. Semantic Segmentation

Helps annotate entire scenes from your sports data by classifying objects in the same category so the system learns to recognize them.

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Semantic Segmentation

07. Instance Segmentation

This process involves individually labeling every repeated object that occurs in your dataset separately for added accuracy.

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Instance Segmentation

08. Skeletal

One of the most common techniques in sports, we connect lines to understand the exact shape of human bodies and track their movement.

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09. Key Points

Keep track of small individual points such as where the eyes of an athlete are pointed, how tense they are in a given moment, and so on.

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10. Lane

Useful for organized sports, we label lanes on a pitch or stadium, stands, paths, and so on for AI to understand local infrastructure.

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11. Custom

Combine different annotation techniques to create unique datasets for your sports AI project according to your specific needs.

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11

Need
custom solution

Professional Data Annotation
for Sports

Get accurately labeled data for your sports AI from experienced annotation teams!

01. Video Annotation for Professional Sports

Video Annotation for Professional Sports

Keymakr makes use of proprietary annotation tools to label video data accurately and efficiently. Smart, scalable video annotation is the raw material for the development of exciting AI use cases for soccer and other professional sports:

Annotating players in each frame of video with bounding boxes allows AI models to identify and analyze their movements.
Deploying skeletal annotation to gain a granular understanding of how individual players move and interact.
Labeling product placement, badges, logos, and watermarks in each frame to measure advertising visibility and efficacy.

02. Powering Sports AI

Powering Sports AI

At Keymakr we leverage our annotation expertise and innovative labeling technology to create bespoke solutions for AI development across a range of sports:

Detailed and accurate annotation supports the creation of AI applications that can produce instant highlight reels for broadcasts or the internet.
Identify injuries before they occur with the help of skeletal annotation, or help diagnose and treat them with medical image data labeling.
Create detailed sports analytics models with video annotation that tracks every important event in a game.

03. Data Annotation for Fitness

Data Annotation for Fitness

Apps for home fitness and personal exercise help countless people improve both technique and performance. Keymakr collaborates with AI developers to produce a new generation of fitness products:

Accurate annotation supports personalized workout apps that track progress and give individuals advice on proper form.
Clean image and video datasets power apps that teach better technique to amateur athletes.

04. Making Fitness Mirrors Possible

Fitness Mirrors

Fitness mirrors that guide exercisers through intense and rewarding fitness programs are becoming an increasingly common feature in many homes. Accessing quality data annotation at the appropriate scales is key to ensuring this exciting technology reaches its potential:

Fitness mirrors can prevent injuries by alerting users when they make potentially dangerous movements.
Tracking of movement and the number of repetitions leads to better data that can guide users and help athletes reach their fitness goals.

Reviews
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"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...

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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