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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 

Screenshots View All

Screenshots View All

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 

Product Features

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