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Average Ratings 0 Ratings
Description
MicMac is an open-source photogrammetric suite, licensed under Cecill-B, designed for a range of 3D reconstruction applications. While the software primarily targets professional and academic users, there are ongoing efforts to enhance its accessibility for a broader audience. One of its key advantages is its impressive versatility, allowing it to be applied across diverse domains such as cartography, environmental studies, industry, forestry, heritage preservation, and archaeology. MicMac facilitates the generation of both 3D models and ortho-imagery when suitable. It is capable of handling objects of various sizes, from small items and statues captured from ground level to larger structures like churches and castles using drone imagery, as well as extensive environments like buildings, cities, or natural landscapes through aerial or satellite methods. Furthermore, the software provides tools for georeferencing products in local, global, or absolute coordinate systems. Additionally, several supplementary tools expand its capabilities into metrology and site surveying, enriching its functionality in professional applications.
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
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
MicMac
Country
France
Website
micmac.ensg.eu/index.php/Accueil
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/