Mediachain Indexer Core is a state of the art, high-relevance, aesthetics-weighted, image search engine and reverse image search for the world's 400 million+ Creative Commons licensed images.
Mediachain neural aesthetics model predictions for high (top) and low (bottom) image aesthetics:
Achieving a human-like sense of aesthetics, while balancing with the need for high-relevance results is a significant challenge. The Mediachain Indexer achieves this using the latest in end-to-end supervised deep neural networks.
Sample calculations of the aesthetics model:
This combination of models gives the Mediachain Indexer results quality similar in aesthetics to the much smaller hand curated collections, while taking advantage of far larger un-curated Creative Commons resources.