Description

Problem

​

• Deep neural networks can solve wide variety of machine learning problems well

• Deep neural networks used in industry applications usually work the best when they are trained using supervised learning given that:

  • there is a lot of data available,

  • the training data is from the same distribution as the data from the production environment and 

  • the labels and data are of a high quality

• Large amounts of data is available on and outside the Internet, but it is not useful for building machine learning solutions in raw format

Solution​

​​

• Solving the process of:

  • Collecting large sets of data at the business process level

  • Preparing and labeling the data for use in training/evaluation processes of deep neural networks

  • Quality assurance of collected data and labels

• Using multidisciplinary approach (technical, social, ethical, legal, ...)

• Automating the process

• Note - currently focused only around the image data for computer vision tasks​