Frequently Asked Questions (FAQs)

What are AI-Driven Geospatial Solutions?

AI-Driven Geospatial Solutions utilize artificial intelligence to analyze and interpret geospatial data, offering capabilities in object detection, localization, tracking, and monitoring for various industries.

What makes GeoAI different from other geospatial solution providers?

GeoAI stands out with its user-friendly interface, AI-powered precision, and the ability to provide comprehensive solutions across a range of industries.

Do I need to know how to code or have knowledge of building AI models to use GeoAI?

No, GeoAI is a no-code platform designed for non-technical users. You can easily create and deploy AI models without any prior coding experience or knowledge of building AI models.

How does GeoAI ensure accuracy in its solutions?

GeoAI ensures accuracy by using human annotation as ground truth for validating the AI model’s performance. This process involves comparing the AI-generated results with the human-annotated data to ensure high reliability and precision.

Does GeoAI have pre-existing AI models?

Yes, GeoAI has a list of existing models for various purposes, including landzone classification, structure detection (such as stadiums and oil tanks), and more.

What is semantic segmentation, and does GeoAI support it?

Semantic segmentation is a process in AI and image analysis where each pixel in an image is classified into a specific class. For example, in a satellite image, semantic segmentation can differentiate between pixels representing roads, buildings, vegetation, and water bodies. GeoAI supports semantic segmentation, enabling precise classification of various land use types and other features in geospatial data.

What is object detection, and does GeoAI support it?

Object detection is a computer vision technique where the AI model identifies and locates objects within an image, typically by drawing bounding boxes around them. For instance, in a satellite image, object detection can identify and highlight vehicles, buildings, or other objects of interest. GeoAI supports object detection, providing accurate identification and localization of objects in geospatial imagery.

What is instance segmentation, and does GeoAI support it?

Instance segmentation is an advanced form of object detection that not only identifies objects within an image but also delineates the exact boundaries of each object, distinguishing between different instances of the same object type. For example, in a satellite image, instance segmentation can differentiate between individual trees in a forest or separate vehicles in a parking lot. GeoAI supports instance segmentation, offering detailed and precise mapping of objects in geospatial data.

How long does it take to create AI models with GeoAI?

Model training might take from minutes to hours depending on the number of annotations and the size of the raster. The more annotations and larger the raster, the longer the training time.

How long does it take to analyze a raster by applying a trained AI model with GeoAI?

Analyzing a raster by applying a trained AI model typically takes seconds to minutes, depending on the size of the raster.