Augmented and Virtual Reality

Bring AR/VR and AI together to deliver a totally immersive experience

Augmented Reality (AR) and Virtual Reality (VR) are two nascent areas of technology whose full potential are yet to be expanded into mainstream industries. While AR/VR and Artificial Intelligence (AI) are distinct areas, companies who combine AI with their AR/VR experiences will build better, fully immersive AR/VR products.

AI models can offer an easier and more scalable way to provide the inputs required to build seamless and impressive AR/ VR experiences. The most common way is by recognizing data inputs and triggering an effect within the AR/VR scene.


High-quality search is all about returning relevant results even when the data is changing or poorly structured, or the queries are imprecise.

Uses of AI in Augmented Reality


Pose Estimation

Infer the position of objects like hands and fingers, which are used to control AR content.


Image and Scene Labeling

Classify an image and trigger an AR label to be displayed.


Semantic Segmentation and Occlusion

Segment and occlude any objects specified.


Object Detection

Estimate the position and extent of objects within a scene. Location information is then used to form hit boxes and colliders that facilitate interactions between physical and digital objects.


Audio Recognition

Recognize keywords and trigger AR effects.


Text Recognition and Translation

Detect, read, and translate text in an image. Augmented reality APIs are then used to overlay translated text back into the 3D world.

Uses of AI in Virtual Reality


Procedural Content Generation

Design characters, environment, other graphical objects at scale.


Virtual Humans

Train animations to respond in real time.


Embodied Interactions

Design more natural movement interaction systems.


Dynamic Customer Experiences paired with Virtual Assistants

Provide a virtual experience to try on the latest fashion with an assistant to answer any questions your customers may have.


Augmented Reality, Virtual Reality and Artificial Intelligence

These are separate but complementary technologies. With our high-quality training data, you will create the accurate AI models needed to provide a seamless and authentic AR/VR experience.

Our complete data pipeline will collect and annotate the training data needed to bring your products to life.

End to End Data Collection
As a global leader in our field, our clients benefit from our capability to quickly deliver large volumes of high-quality data across multiple data types, including image, video, speech, audio, and text for your specific AI program needs. With a global crowd of over 1 million contributors, we can ensure you have the diversity of data needed to create a world class model. Short on time and budget? Our off-the-shelf datasets are also available to jumpstart your AI projects.

Verify Existing Annotations
Bring your own model and leverage our global crowd to help verify and correct existing annotations at scale. Or start from scratch using one of our models that we can provide to you.

Data Annotation
Using the data we’ve collected or data that you have provided, we can use our industry leading data annotation platform to produce high-quality training data. Common annotation types for AR/VR include: Video Annotation for tracking gestures/ eye movements (eg. bounding boxes, keypoint annotation, ability to validate shapes within shapes), Image Classification, Semantic Segmentation and Audio Transcription.

Use Our Crowd With Your Own Specific Tool
If you have a particular annotation tool you want to use but need scalable, human annotators, we can provide our high-quality crowd of contributors for you to use.

Delivering Confidence for your AI Projects

Our ADAP platform and skilled project management capabilities use multiple quality control methods and mechanisms to meet and exceed quality standards for training data.
Our platform and services are purpose- built to handle large scale data collection and annotation projects, on demand. Our platform's built-in MLA optimizes throughput and with deep expertise,  planning,  and recruiting to meet a variety of use cases, we can quickly ramp up new projects in new markets.
With a crowd of over one million skilled contributors operating in 170+ countries and 235+ languages and dialects, we can confidently collect, and label the high volumes of images, text, speech, audio and video data needed to build and improve AI systems.
We provide multiple secure platform and service offerings, secure, remote and on-site contributors, on-premises solutions, secure data access offerings and ISO 27001/ ISO 9001 accredited secure facilities.