face dataset creation
In order for an AI to learn and then automatically recognize content, you need to provide it with training data, e.g. sample images and videos.
In effect, the machine learning algorithms will enable the computer to teach itself about the context of visual data by automatically extracting information such as people’s faces and their names from videos and livestreams. As a result, the Face Dataset Creation AI links these pieces of information together and stores them in a ready to use dataset. You can then use it to automate the mundane and time-consuming task of manually labeling your images, letting you focus on more important and complex assignments.
You only need one sample image to train your AI model
Runs both on-prem or on your cloud
DeepVA examines and evaluates every frame individually
The Face Dataset Recognition ensures that generated sample images are suitable for the creation of an AI model
The Face Dataset Recognition uses interview scenes to extract all necessary information and store it in datasets
dataset creation benefits
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