Case Studies With CloudFactory image annotation, Matterport can focus on helping customers create interactive 3-D digital twins
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With CloudFactory image annotation, Matterport can focus on helping customers create interactive 3-D digital twins

Analytics & Modeling - Data Mining
Analytics & Modeling - Digital Twin / Simulation
Analytics & Modeling - Machine Learning
Construction & Infrastructure
Facility Management
Product Research & Development
Quality Assurance
Digital Twin
Data Science Services
System Integration
While Matterport focuses on delivering the highest value possible to its customers through the creation of cutting-edge technological solutions, it also needs to maximize the value of its extensive database and huge library of images. The company owns the largest spatial data library in the world (and it gets bigger every day). Its vast spatial data library enables the development of new neural network architectures and the ability to evaluate and optimize them against user behavior and real-world data in millions of situations. To create robust, highly accurate 3-D digital twins, it’s vital for Matterport to continuously optimize these neural networks and machine learning algorithms so that essential knowledge can be extracted from the growing volumes of data. Due to the sheer number of images captured, the spatial data company needed a partner that could provide image annotation and classification services for its database of 3-D panoramic scans. Instead of spending time on data labeling, the company wanted its in-house resources to focus on development.
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Matterport’s 3-D media platform makes it easy for anyone, from individuals to Fortune 500 companies, to turn a physical space into an immersive digital twin. This innovation is made possible through Cortex, Matterport’s powerful AI technology. As a deep learning neural network, it automatically stitches images together from a wide variety of capture devices—including LiDAR and 360-degree cameras, drones, and smartphones—to construct dimensionally accurate 3-D models that can be customized and shared. Billions of square feet have already been captured using Matterport. From real estate photography and construction documentation to insurance adjusting and rental management and more, Matterport helps reduce the expenses, time commitments, and inefficiencies associated with managing the lifecycle of a building. The spatial data company’s goal is to digitize and index the built world by capturing interactive 3-D models that can be used to design, build, operate, promote, and understand any space.
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To help Matterport optimize machine learning algorithms, CloudFactory performed image annotation and classification across Matterport’s database of 3-D panoramic scans, including managed image segmentation services for a large breadth of ontologies and object types. Scanned spaces range from apartment buildings and schools to historic sites and luxury yachts. Matterport supplies sets of images to CloudFactory, along with specific processing instructions and details. From there, completed and quality-assured annotations are returned. This information helps the company build tools for its customers to unlock valuable spatial data insights and analytics.
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By augmenting machine learning capabilities and removing the burden of image annotation from Matterport’s workforce, CloudFactory helps the spatial data company remain focused on engineering and developing cutting-edge spatial data technology solutions to take buildings online.
Billions of square feet scanned
150 countries served
Thousands of images labeled
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