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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Access a comprehensive street and satellite mapping tool for the entire globe. You can effortlessly switch languages, alter color schemes, and choose different fonts to enhance your maps. Additionally, you have the option to customize maps, upload your own geospatial data, or create new data and publish it online. You can also clip, adjust colors, or merge several images to create a unique visual representation. These maps can be displayed on websites or utilized in GIS applications. For those who prefer command line operations, the MapTiler Engine can be called from your own software. Comprehensive examples and technical guidance are provided in the MapTiler manual to assist users. Moreover, the MapTiler Engine can be incorporated into your products for distribution. The application, along with all required dependencies, can be easily accessed as a Docker container. A simple command allows you to install MapTiler Engine on any Linux system. You can publish maps directly from your server or laptop, and run your own map server utilizing global data securely behind a firewall, or enjoy full offline capabilities. Furthermore, it's possible to convert images into maps directly on your computer or process satellite images of the entire planet using a cluster of computers, making it a versatile tool for a variety of mapping needs. This flexibility ensures that you can adapt the software to fit your specific project requirements.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Docker
Google Cloud Platform
MetaLocator
Microsoft Azure

Integrations

Amazon S3
Docker
Google Cloud Platform
MetaLocator
Microsoft Azure

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MapTiler

Country

Switzerland

Website

www.maptiler.com

Vendor Details

Company Name

OneView

Founded

2018

Country

Israel

Website

www.oneview.space/

Product Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Product Features

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