Smart fitness applications

Boost your AI models

Accelerate the deployment and improve your model for smart fitness by leveraging high-quality, diverse, and privacy-compliant synthetic data.

Action
recognition
Facial
recognition
Gesture
recognition
Full body
pose estimation
Object
detection

Humans in Home and Gym Environments

Our platform and API allows you to generate accurate representations of humans exercising in home and gym environments. Our data includes various identities, exercises, accessories and environments. 

 

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The exact data you need for your fitness application

Generate the data you need for a range of fitness and health use cases while avoiding privacy regulations and the complexities of manual data collection and cleaning.   Our data is ideal for the following use cases:

Exercise type

  • Detect the type of exercise
  • Detect objects such as dumbbells

Exercise repetition 

  •  Count number of repetitions

Exercise form

  • Identify correct/incorrect form
  • Quantify form quality
FBiceps Curl C

Granular control over every parameter

The SDK allows you to have full control over the data generation process, giving you the ability to tailor the data according to your specific needs including:

Age
Head Pose
Eye Gaze Detection
Eye Color
Ethnicity
Behavior
Hair style and color
Lighting
Clothing
Body pose
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Modalities

Face and full body 3D key points

Improve your model training

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>90%

Less real data required

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>10%

Improvement in model accuracy

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2x

Time
to production

Need a different behavior or environment?

 

We take pride in our ability  to provide diverse datasets for a wide range of applications.

However, if you need a different behavior or environment, we’ve got you covered.

Our in-house mocap studio allows us to generate additional scenes on demand to ensure that your data generation needs are fully met.

Simply contact us us with your request and we’ll be in touch.

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