NetX can now automatically understand the content of an image and associate relevant keywords and metadata. The platform provides recognition of labels, objects and concepts, along with landmarks, logos, and even the facial expressions. This new tool enables a shift of focus for digital asset managers and end users alike, as tags from powerful machine learning models will be automatically generated.
“We have always prioritized metadata management and search,” said NetX President, Jason Wehling, “and we feel that this Google Vision initiative will revolutionize the experience of managing, searching and finding digital assets.”
By leveraging the AI engine of Google, a concept such as “extreme sport” can be detected in an image of a kayaker, or a cultural object like “the Eiffel Tower” in a picture of Paris.
Detect broad sets of categories within an image, ranging from modes of transportation to animals.
Detect popular brand product logos within an image.
Detect popular natural and man-made structures within an image.
Detect multiple faces within an image, along with the associated key facial attributes like emotional state
NetX has powerful bulk tagging tools, such as the Grid Editor and Quick Edit panel, for high volume tagging. However, this powerful new integration takes tagging efficiency to the next level.
Click here to learn another simple way to increase findability in DAM with embedded metadata
