face dataset creation
our solution
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.
DeepVA examines and evaluates every frame individually.
The Face Dataset Recognition uses interview scenes to extract all necessary information and store it in datasets.
You only need one sample image to train your AI model.
The Face Dataset Recognition ensures that generated sample images are suitable for the creation of an AI model.
dataset creation benefits
Your first tool to create training data in seconds
No programming skills necessary – just select the visual assets you want to train and push the button
Works both on-premise and on your cloud platform — you choose the best option for your business
Save up to 98% of time and 87% of costs by automating the training data process
A product of «The Chainless».
Designed and engineered in Germany.
The Chainless GmbH
Wannerstraße 19
79106 Freiburg
Germany
The project has indirectly received funding from the European Commission’s Horizon 2020 Framework Programme through the STADIEM project (Grant Agreement 957321)
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