Average Ratings 4 Ratings
Average Ratings 0 Ratings
Description
Transform your project’s vision into reality whenever you need it with Nearmap 3D, which offers an exceptional level of detail and remains consistently updated thanks to our top-tier aerial imagery. By providing a vivid, real-world context, you can create a significant impact and engage your stakeholders more effectively. Gain unique insights that are often missed by others as you explore data from multiple perspectives. Affordable aerial imagery can revolutionize business operations, significantly lower expenses, minimize risks, and quickly enhance your financial performance. Begin your journey by demonstrating the benefits with a single subscription, then scale it across your entire organization or enterprise. Nearmap captures images of urban areas in the United States and Canada several times a year, with new aerial photos processed and made available in the cloud within days. Enjoy immediate access to both the latest and historical aerial imagery, precisely georeferenced to reveal the truth over time. With an intuitive in-browser experience, Nearmap 3D is readily accessible, ensuring that you are always equipped with the latest information for your projects. This seamless integration allows for more efficient decision-making and strategic planning.
Description
Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.
API Access
Has API
No
API Access
Has API
No
Integrations
ARKA 360
Yes
Archistar
Yes
Crunchwork
Yes
Loss Control 360
Yes
Powerlily
Yes
Pylon
Yes
RapidPath
Yes
RapidPlan
Yes
Roofr
Yes
Solo
Yes
Integrations
ARKA 360
No
Archistar
No
Crunchwork
No
Loss Control 360
No
Powerlily
No
Pylon
No
RapidPath
No
RapidPlan
No
Roofr
No
Solo
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Nearmap
Founded
1998
Country
Australia
Website
www.nearmap.com/us/en
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/
Product Features
Location Intelligence
Behavioral Analytics
No
Data Visualization
No
Demographic Data
No
Geocoding
No
Geofencing
No
Location Tracking
No
Predictive Analytics
No
Trade Area Analysis
No