Although training AIs is already very easy, there are so many unknown people in many archives that even uploading three images of the respective person leads to a massive time investment. Thousands of hours of video material thus develop into a data silo whose already contained information cannot be used. Is there a way with DeepVA to automatically create training data of specific people?
Thanks to DeepVA’s Deep Collector, training data for face recognition can be obtained automatically. The AI of the Deep Collector recognizes lower-third titles, it checks the quality of the face present in the image and, if the quality is good, stores individual frames as training data together with the name extracted from the lower-third.
faster data acquisition
COST REDUCTION
faster labelling
What results can be obtained?
Automated creation of a training database out of available video data
Permanent Extension
Integrated Quality Checks for best possible training data
Automatically build a face recognition training dataset
Using images of the faces and text information (e.g. from belly bands), Face Dataset Creation automatically creates entire datasets, without any manual labor.
Requirements
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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)
