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Google’s AI can rate photos on aesthetic appeal

WHY THIS MATTER IN BRIEF Google's AI is moving from just being able to identify and categorise images to being able to identify them according to their aesthetics, and that's big.

Cite or link to this article

Griffin, M. (2018) 'Google’s AI can rate photos on aesthetic appeal', 311 Institute, 27 February. Available at: https://www.311institute.com/googles-ai-can-rate-photos-on-aesthetic-appeal/ (Accessed: 1 October 2026).

WHY THIS MATTER IN BRIEF

Google's AI is moving from just being able to identify and categorise images to being able to identify them according to their aesthetics, and that's big.

Today’s slew of photo apps can help you find objects in your pictures but they don't tell you whether or not those images are actually worth sharing. For now, at least, that's still up to you.

If Google has its way though Artificial Intelligence (AI) may soon become an art critic. After more than a year in development recently Google detailed their work on what they’re calling a Neural Image Assessment (NIMA) system that uses a deep learning to rate photos based on what it believes you'd, or the critics out in the wider world, might like both technically and aesthetically.

Google trained NIMA using sets of images based on histogram of ratings, such as from photo contests, that gave the platform a sense of the overall “quality” or aesthetic of a picture in a range of different areas, not just a mean score or a simple high-low rating, and now, after having been trained, the system can use reference photos to compare one image with another, if they're available, but it can also turn to its statistical model if it hasn’t seen anything like it before.

The result is an AI that "closely" replicates the mean scores of humans when judging photos, and that, in turn, has all kinds of implications for photography apps and smartphones. After all, imagine a smartphone with a built in photo critic that can help you take perfect shots time and time again… sounds fun doesn’t it!?

To begin with, NIMA could help you quickly find the best photos in your albums while avoiding poorly composed shots, or blurry ones, although here too Google has another AI agent that can help un-blur even the blurriest photos, called RAISR, which I wrote about a while ago, and Google adds that NIMA would be helpful for editing too because you could use it to help fine tune automatic editing tools, for example, your favourite editing app could tweak exposure, brightness and other details based on artistic appeal rather than arbitrary values.

While there's a lot of work still to be done, this hints at a day when your phone could have as discerning a taste in photos as you do, so don’t be surprised if in a year or so you see NIMA turn up in an Android update… I hope you enjoy taking awesome photos.

FAQ

Why does this matter?

WHY THIS MATTER IN BRIEF Google's AI is moving from just being able to identify and categorise images to being able to identify them according to their aesthetics, and that's big.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Introducing nima neural image assessment research.googleblog.com

Source: first published by the 311 Institute on 27 February 2018. Cite as: Griffin, M. (2018). Google’s AI can rate photos on aesthetic appeal. 311 Institute. https://www.311institute.com/googles-ai-can-rate-photos-on-aesthetic-appeal/

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