Provides the ability to train a model on faces stored in VidiCore and then ananlyze video content for detected faces.

Using image assets containing faces as training material you can now create a custom face detection model provided by DeepVA, and based on this model you can run an analysis of your video content to detect faces known to the model and automatically populate the assets with metadata from the DeepVA face detection model. The service will also return keyframes of faces still unknown to the trained model, which could be used to further enhance the training model. Media files to be analyzed must be under management by VidiCore and have thumbnails generated for them.

For all customers looking to go beyond what can be achieved by pre-trained cognitive services and wants to build their own model of faces that might not be known to an international public. This could for instance be a regional news channel building a face detection model of regional politicans and celebrities, in order to easily find and fetch video material containing them when creating a news segment. A good complement to this service for generating training material is the Face and Label Extractor Powered by DeepVA

Seamless integration into any VidiCore system, anywhere.

Requires VidiCore version 21.3 or later.