This team is looking for
Data that captures more variance means that the data represents situations closer to reality. This leads to better generalized models if trained on the more diverse data. DataHack solves the "data diversity" problem by sourcing the required data from users. Companies/Researchers can request datasets. The process of validation of a new data can be automated with an apt neural network. The prototype uses a Convolutional Neural network to validate the data.