Some Features that Can be Implemented With TensorFlow
The tasks related to the recognition of a human face. The ML model can be trained in a way to take into consideration different angles with occlusions as well as lighting conditions that normally affect standard comparison.
The tasks related to the digitalization of text, typed or even handwritten. Successfully used to digitalize paper documents, such as filled forms and invoices.
The implementation cases of pattern recognition features are endless: starting from the data analytics tasks (banking transactions patterns detecting), to industries changing media data processing (satellite images, industrial camera feeds analytics).
Analyses user behaviour data or purchase history, compares it to similar users. You can up sale up to 30% by implementing personalized recommendations into your business.
The tasks related to the recognition of objects and their types. The ML model is trained on the images with the same object in various lightning conditions, different angles and sometimes partially hidden. Great feature for retail (goods recognition) or security (license plate numbers recognition).
Makes edits or creates images from scratch taking into account a complex knowledge base.
The tasks related to the recognition of a human face. The ML model can be trained in a way to take into consideration different angles with occlusions as well as lighting conditions that normally affect standard comparison.
The tasks related to the digitalization of text, typed or even handwritten. Successfully used to digitalize paper documents, such as filled forms and invoices.
The implementation cases of pattern recognition features are endless: starting from the data analytics tasks (banking transactions patterns detecting), to industries changing media data processing (satellite images, industrial camera feeds analytics).
Analyses user behaviour data or purchase history, compares it to similar users. You can up sale up to 30% by implementing personalized recommendations into your business.
The tasks related to the recognition of objects and their types. The ML model is trained on the images with the same object in various lightning conditions, different angles and sometimes partially hidden. Great feature for retail (goods recognition) or security (license plate numbers recognition).
Makes edits or creates images from scratch taking into account a complex knowledge base.
