Viewing profile — parths

NEAT! looks promising. What are your thoughts?

Absolutely! With visual content being predicted for popularity, a model can be made which produces quality content based on the training data of existing popular content from diffe…

You summarised our vision very well, we want to democratise creativity so you never have to guess what will work on social media

A neural network has been trained to differentiate between popular and non-popular images and give like scores. This network was optimised to understand the features that made a ph…

As of now, the focus is only on the mobile apps. Though,in future we are planning to release an API with a web demo for the same.

We have trained our model on public photos which were popular/trending at some point of time. We fed these images to a deep CNN (Convolutional Neural Network) which started to reco…

A large majority of human errors come from fine-grained categories(such as correctly identifying two similar cat species) and class unawareness. I would recommend this article by A…