AI-Powered Augmented Reality Models

AI-powered augmented reality (AR) models enhance real-world interactions by intelligently recognizing, tracking, and overlaying digital content onto physical environments. Using computer vision and machine learning, these models enable precise object detection, spatial mapping, and real-time augmentation, improving applications in gaming, retail, healthcare, and industrial training.
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Data Annotation for AR

Data annotation for AR enhances AI models by labeling objects, environments, and gestures for accurate real-world interactions. Techniques like bounding boxes, polygons, and keypoint annotations enable precise object tracking, spatial mapping, and augmented overlays, improving applications in gaming, retail, healthcare, and training.

Identifies objects in AR scenes

AI-powered object identification in AR scenes enables real-time recognition and tracking of physical objects, enhancing interactive experiences. This technology supports applications in gaming, retail, education, and industrial training by seamlessly integrating digital overlays with the real world.

Defines irregular shapes

Utilizes advanced AI to define irregular shapes, enabling precise AR object overlays. This enhances realism by ensuring digital elements seamlessly align with real-world objects, improving applications in gaming, retail, design, and training.

Pixel-Level Labeling for Accurate AR Rendering

Pixel-wise labeling enables AR systems to distinguish foreground from background, enhancing object recognition, occlusion handling, and realistic digital overlays for immersive experiences in gaming, retail, and training.

3D Cuboid Annotation

3D cuboid annotation enhances AR systems by providing depth and perspective awareness, allowing accurate object recognition and spatial alignment. This improves realistic interactions, occlusion handling, and immersive AR experiences in gaming, retail, and industrial applications.

Lidar Annotation

LiDAR annotation for AR enhances depth perception and spatial mapping by accurately labeling 3D point cloud data. This enables precise object recognition, environment reconstruction, and realistic digital overlays, improving AR applications in navigation, gaming, and industrial design.

OCR

OCR in AR enables real-time text recognition and overlay, allowing users to extract, translate, and interact with printed or handwritten text in augmented reality environments. This technology enhances applications in navigation, education, retail, and accessibility by seamlessly integrating digital information with the real world.

Save Both Time and Money!

Save Both Time and Money!

Discover why Unitlab AI stands out as the ultimate solution for your data annotation needs.

15X

Faster Data Annotation
Auto Data Collect
Auto Data Labeling
Auto Model Validation
Auto QA
Auto Model-In-the-Loop

60%

Free Up AI Engineer’s Time
Dataset Curation
Dataset Version Control
Dataset QA
AI Model Integration
AI Model Validation

5X

Save AI Development Cost
5X saving in Data Collection
10X saving in Data Labeling
5X saving in Dataset Curation
5X saving in AI Development
5X saving in Model Validation

Annotation types

AR annotation enhances AI by labeling objects, environments, and interactions. Techniques like bounding boxes, segmentation, and keypoints improve object tracking, spatial mapping, and immersive experiences in gaming, retail, and healthcare.

Bounding Box for Object Detection

Bounding box annotation in AR enables precise object detection by outlining objects with rectangular boxes. This helps AR systems recognize, track, and interact with real-world objects in real time, improving applications in gaming, retail, navigation, and industrial training.

Semantic Segmentation for AR

Semantic segmentation in AR assigns pixel-level labels to distinguish objects, surfaces, and backgrounds, enabling precise digital overlays and real-world interaction. This enhances AR applications in gaming, retail, navigation, and industrial training by improving object recognition, occlusion handling, and spatial awareness.

Polygon for AR

Polygon annotation precisely outlines irregular shapes, enabling accurate AR object overlays. This enhances realism by ensuring digital elements align seamlessly with real-world objects, improving applications in gaming, retail, design, and training.

FAQs

Is Unitlab a free Data Annotation Tool?

Yes, it is! No credit card is required to use Unitlab. You can use the Unitlab tool for free forever as long as you stay within the set limits. However, for more extensive use, Unitlab offers a subscription model. This model's pricing is customized to your organization's specific usage, data requirements, and any extra services you might need, like our advanced labeling solutions. To get a tailored quote and further information, please connect with our sales team.

Can I switch my plan after I create my account?

Yes, you can start working with a Free Plan and then change plans in the future as you evaluate which is best for you.

How is the Price of a Data Labeling Service Calculated?

Data Labeling Services start at just $0.02 per image. The base price depends on the types of data annotation, the number of classes, and the average number of objects to annotate per image.

How Can I Set Up the Unitlab On-Premises Solution in My Local Workspace?

Unitlab offers a range of scalable On-Premises solutions! Contact Us to discuss your requirements. You can purchase Unitlab's On-Premises solution after consulting with us. We help you install our entire annotation system in your workspace.

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