Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Capture images personally to fill in the gaps and contribute to a shared street-level perspective of the world by using any camera at your disposal. Enhance maps by incorporating details that cannot be seen from above, utilizing street-level photos from any necessary location. Accelerate the map updating process and reduce the required effort by leveraging features identified through computer vision technology. Facilitate access to data that empowers individuals to make informed choices regarding urban planning, traffic management, and self-driving technologies. Allow the public to easily obtain vital information and resources. Collaborate with various entities—including governmental organizations, researchers, and businesses—by sharing street-level imagery to foster progress and innovation. Make your previously gathered photos, video footage, or logs available to the public with the help of our user-friendly upload tools. Seek assistance for larger data imports and contribute to a more connected and informed community. By doing so, you can play a vital role in transforming how cities are perceived and navigated.
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
No details available.
Integrations
No details available.
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
Yes
iPad App
Yes
Android App
Yes
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
Yes
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
Mapillary
Founded
2013
Country
Sweden
Website
www.mapillary.com
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/
Product Features
GIS
3D Imagery
No
Census Data Integration
No
Color Coding
No
Geocoding
No
Image Exporting
No
Image Management
No
Internet Mapping
No
Interoperability
No
Labeling
No
Map Creation
Yes
Map Sharing
No
Near-Matching
No
Reverse Geocoding
No
Spatial Analysis
Yes