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

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	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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	Mutual trust and understanding between Nearmap and CloudFactory have helped navigate the learning curve and build a successful model.
Impact #2	Transparency and effective communication, supported by data-driven metrics and performance monitoring, have been key to the partnership's success.
Impact #3	Free-flowing feedback between the companies has allowed for constant improvements in the labeling and modeling processes.

Impact #1

Mutual trust and understanding between Nearmap and CloudFactory have helped navigate the learning curve and build a successful model.

Impact #2

Transparency and effective communication, supported by data-driven metrics and performance monitoring, have been key to the partnership's success.

Impact #3

Free-flowing feedback between the companies has allowed for constant improvements in the labeling and modeling processes.

Benefit #1	4x business scale in the first year.
Benefit #2	24x7 coverage support.
Benefit #3	3+ year partnership with CloudFactory.

Benefit #1

4x business scale in the first year.

Benefit #2

24x7 coverage support.

Benefit #3

3+ year partnership with CloudFactory.

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Overview

Delivering data insights with near real-time aerial image labeling

Operational Impact

Quantitative Benefit