1. software
  2. intelligent image analysis software

PLANET AI -Intelligent Image Analysis Software

SHARE

PLANET AI’s Intelligent Image Analysis is able to localize and identify many different visual categories in images and videos. This skill is often utilized by our engines to preprocess images or videos to segment certain objects, but can also be used as a stand-alone solution. The three features Image Classification, Object Detection and Image Segmentation can be applied in various industries, such as healthcare and traffic surveillance.

Most popular related searches

Patented AI Technology
PerceptionMatrix

Data Security
Deployment on-premises or in cloud

Versatile Use
Flexible integration

Image Classification
PLANET AI’s Image Classification technology assists you in identifying significant characteristics for differentiation by providing only a small amount of example images. The system then learns autonomously, allowing you to add or alter image classes independently based on feedback and training data. You can use it to identify specific content, such as diagnoses on a medical scan. Image Classification can dramatically reduce the potential for mistakes and the costs for manual input.

Object Detection
PLANET AI’s Object Detection feature helps you to analyze input by marking objects with a highlighted frame and a confidence value for each object’s class. Even different, sometimes overlapping or blurry objects can be processed, as well as compression artifacts, shadows, and more. You can use it to identify objects in a collection of pictures, such as forbidden items on an x-ray scan at the airport. Object Detection can process multiple images at once, dramatically reducing the potential for mistakes.

Image Segmentation
PLANET AI’s Image Segmentation technology assigns a class to each pixel of an image and thus offers groundbreaking accuracy for any image analysis task. Pixels of the same class, such as background or a body part, can be marked in the same color and further processed. You can use it to transform two-dimensional input into three-dimensional models, e. g. in medical contexts.