Anna Dickson and I have, once again, made a proposal for SXSW. This time it’s called the Machine Learning Bake-off. In this presentation we’ll do some real-world comparisons of Machine Learning services for analyzing photos. We will test services and present findings on the good, the bad and the ugly.
Here’s the proposal, including the link to vote.
And here’s the proposal info.
Machine Learning Bake-off
Is ML the solution for making sense of vast collections of images? In demo form, it looks amazing. But does it really provide actionable information for you, or does it junk up your tags with a lot of low value (and wrong) information? Time for a taste test! In this presentation, you’ll see the results of real world testing from leading services – Google, Amazon, Microsoft and Clarifai. Our test set includes a wide variety of images representing multiple industries and tagging challenges. We’ll show you where each ML shines, and where each misfires, and how the serviuces have evolved. Armed with our evidence and conclusions, you can decide if it’s delicious, or not yet ready to eat. As a bonus, we’ll show you how to easily run your own test on tens of thousands of images for under $200.
• Get a solid idea of the info that Machine Learning can currently add to image collections. Understand what it’s good and bad for.
• Get a handle on the differences between ML services and how each can help you. Get a better idea of how to evaluate your options.
• There is no substitute for some real-world testing on your own material – at scale – if you want to determine the value of a service. Here’s how.
On the mobile web, images serve a greater purpose than simple visual description. Rich media images are increasingly used to connect people, events, institutions, ideas, advocacy and commerce. As we move into a new era of visual communication, this trend is accelerating. While the use of connected images blossomed on social media services, it reaches far beyond walled gardens into API-based interchange on the open web. Machine learning and linked data are creating new methods to make connections, and the Data Transfer Project is opening up access to the underlying graph for portability and innovation. In this presentation, we will explore the current state of visual media connectivity, what it can do for you, how to enhance your own image connectivity, and how to avoid costly mistakes.
I’ll be headed to Los Angeles in mid-October for Adobe Max, my third time there. Over the last several years, the conference has grown like crazy, including the addition of a lot of photo-related programming. In each of the years I’ve attended the conference, I walked away with a much better understanding of the emerging media landscape. Here is a highlight video from 2017. It gives you a peek at the type of content at Adobe Max.
There is a fascinating mix of programming at Max. There are breakout presentations, workshops, pre-conference multi-day workshops, and plenary sessions. The big plenary sessions are the ones that were most interesting to me, including inspirational talks from Annie Griffiths, and Jonathan Adler.If you are interested in where Artificial Intelligence and Machine Learning is going, Max provides a showcase for Adobe’s massive undertaking, Sensei. Sensei is purpose-built for the creative, marketing and communication industries, and it is poised to have far-ranging effects on the way visual media is created and deployed.
The Sneaks are a look at experimental development efforts, including products that are still on the drawing board. Always fun and popular, and hosted by a people like Nick Offerman or Kumail Nanjiani.As you can see, there is a lot of the content available on free video channels. So why go? Like all good conferences, the value is frequently found in the personal connections you make rather than strictly in the programming. And in the best conferences, you open your mind with new programming at the same time you are making connections with new people.
There’s also a pretty good party at the end of the thing, usually including good live music, a ton of great food and drink, along with other fun and games.
Max is not cheap – list price is $1595, and the discounted price of $1295 is only available until July 31. I have still not cracked the code to get a presenter slot at Max, but this year I’m going as a TA. I’ll help out someone’s classes, learn, and meet new people. If you are looking for a hint of what the future of media will bring, I suggest you give Max a try.