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Case Studies > Delivering data insights with near real-time aerial image labeling

Delivering data insights with near real-time aerial image labeling

Technology Category
  • Analytics & Modeling - Computer Vision Software
  • Analytics & Modeling - Data-as-a-Service
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Construction & Infrastructure
Applicable Functions
  • Field Services
  • Quality Assurance
Use Cases
  • Building Automation & Control
  • Predictive Maintenance
  • Remote Asset Management
Services
  • Data Science Services
  • System Integration
  • Training
The Challenge
Nearmap acquired proprietary roof geometry technology to expand its service offerings. The challenge was to accurately label high volumes of specialized roof facets in 3D content to operate at scale. Speed was essential for quick turnaround times, and the complex nature of the work demanded intensive training for data labeling teams. Additionally, Nearmap needed flexible support to handle seasonal demand fluctuations.
About The Customer
Nearmap is a geospatial company headquartered in Sydney, Australia, with over 350 employees. The company aims to transform how clients work by using 3D content and digital tools for virtual rooftop inspections. This allows clients to focus on scaling their businesses rather than physically gathering data. Nearmap's automated software processes information about a roof's pitch, dimensions, and material types, helping professionals streamline their inspection and quoting processes without stepping foot on a job site. Accurate labeling and modeling are crucial to their operations, and CloudFactory supports this with specialized, real-time annotation of roofs for residential and commercial properties.
The Solution
Nearmap collaborated with CloudFactory, a trusted partner, to resolve these challenges. CloudFactory had previously helped the AI side of Nearmap's business grow, so the partnership was extended to provide accurate labeling and modeling for the roof geometry product. CloudFactory took on the training burden, offering intensive three-to-four-week courses for labelers on complex mapping tasks. This allowed Nearmap to focus on software development. The partnership provided Nearmap with trained data labelers as needed, enabling the company to scale and react to seasonal demand fluctuations.
Operational Impact
  • Mutual trust and understanding between Nearmap and CloudFactory have helped navigate the learning curve and build a successful model.
  • Transparency and effective communication, supported by data-driven metrics and performance monitoring, have been key to the partnership's success.
  • Free-flowing feedback between the companies has allowed for constant improvements in the labeling and modeling processes.
Quantitative Benefit
  • 4x business scale in the first year.
  • 24x7 coverage support.
  • 3+ year partnership with CloudFactory.

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