Deepva Visual Concepts Recognition
Visual Concepts Recognition
function description
Object and scene recognition
With extensive media data, it is often difficult to keep track of everything. With Visual Concepts, you can instantly group together the content of images or videos. Object recognition identifies and labels various objects, from general to more specific ones. With this module, visual data can be conveniently and reliably classified and archived.
The categorisation of your data is mainly relevant for the assignment of the topic of the image or video, for example by means of keywords, hashtags or keywording in the archive. With Object Recognition, objects in your media data are identified and made usable.

benefits
Transforming data into value
Identifikation von 1.500 vortrainierten Objekten
Scenery identification
Automatically generate archive metadata
use cases
Visual Concepts Recognition use cases
how it works
How does Face Recognition work?
Face Recognition analyzes faces with respect to a number of different vectors and compares them with the underlying database. The database may consist of either pre-trained personalities, your own training data, or a combination of the two.
