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AI Tattoo Technology: Interview with Tech Developer Dennis Jensen

AI Tattoo Technology: Interview with Tech Developer Dennis Jensen

Stories5 min Read

In this interview with developer Dennis Jensen, he talks about his new AI tattoo tool that helps detect and classify tattoo images.

You probably already knew this...but Tattoodo has some really awesome people working for them. One of them, Dennis Micky Jensen, not only wears some pretty spiffy suits, but he's also the developer behind new AI tattoo technology. He's spoken at tons of events around the globe about his project, and was recently posted on Google's IG page promoting him and Tattoodo! Seriously cool! 

Can you talk about the AI project, and how you came up with the idea?

In the tech department of Tattoodo, we have a quarterly "hackathon", where developers across teams can work on anything they want, as long as it solves some sort of a business need. 

What tools have you used to support the development of the AI aspect of the Tattoodo app?

The first initial AI prototypes was developed on a platform created by NVIDIA called DIGITS. This tool is a web based platform that helps engineers with little AI experience to create models, as well as upload and augment training data. However, as I learned more, gained more knowledge and experience, the DIGITS platform became obsolete, thus I started going into Google's AI framework called Tensorflow so I could get my hands dirtier on a lower level with python.

How has the project evolved since you began? How do you want to improve it and how do you go about doing something like that?

The whole AI project started out, as I mentioned, in an in-house hackathon with a Tattoo style classifier. After we blindly trained the AI prototype with only data our users gave us, we knew that if we wanted better results, we needed better training data, thus the birth of the "tattoo game" was given. The project then expanded with several other AI models to help us. For example, I've trained a model that is able to localize a tattoo (or more tattoos) in a given image. That type of AI is called "Semantic image segmentation". By localizing the tattoo in an image, we were able to calculate how much of an image that consists of tattoos, getting us a "tattoo concentration percentage". We use that data to filter out selfies, shop facades and other tattoo unrelated images from our search results.

How do you see the future of this project? How do you see the future of tech and tattoos in general?

The future of AI at Tattoodo is looking good. I will keep iterating over existing AI models we use and feed them with more training data as we gather it. Ideas are in the works for new AI models already, for example it would be awesome to train an AI that detects what body part tattoos are located on. That will be a cool filter to give our users when they search for tattoos.

What do you love about tattoos? What do you love about Tattoodo?

Well, what's not to love about tattoos? Being able to decorate your body, being the canvas of the work of great artists, getting something "embedded" literally inside you, is kind of intriguing. It could be a memoir of something important, culture related or even "just something that looks cool". It creates a community, and I really like that about it.

If you could develop anything at all, with no restrictions, using technology that maybe hasn’t even been created yet, that merged the world of tech and tattoo, what would it be?

Uff, how cool would it be to be able to spin up a hologram, grabbing a tattoo and placing it on your body, so you can see exactly how it would look on you? Well, disregarding the hologram, we are actually developing on that type of software already. Make sure to stay tuned for our new "Try it on" feature in the mobile Tattoodo app!

Justine Morrow
Written byJustine Morrow

Social Producer, Journalist, Editor, and Curator for Tattoodo I am here to support you 🌻 IG: @lathe.of.heaven

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