Abstract: The present invention provides at least a method for determining at least one body measurement by obtaining a plurality of images, in particular a video, of a user. The video can be easily acquired by the user or a friend using a mobile device comprising a camera, such as a digital camera, a smartphone, a table computer and/or the like. Optionally, the invention also provides generating a clothing size recommendation based at least on the determined at least one body measurement. The clothing size recommendation may take additional parameters into account. Both for the determining of the body measurements and/or for the generating of the clothing size recommendation, artificial intelligence entities, in particular machine learning entities, more particular artificial neural networks may be used. Preferably, return information comprising ratings of users of whether and how well certain items of clothing fit them in the past is collected and used for the training of an artificial intelligence entity.

Abstract: The present disclosure relates to a method of and a system for building a latent feature extractor as well as a neural network including a latent feature extractor built by the method and/or with the system. The method includes providing non-uniform training data for a multitude of tasks and optimizing parameters of a neural network of the latent feature extractor based on the multitude of tasks.