Hyper-Realistic Tattoo Filters

Jerferson Araujo's Tattoo Filter on Instagram is Super Realistic

Content creator Jeferson Araujo offers a hyper-realistic tattoo filter called 'Rampage' that projects tattoos onto a user's skin. Araujo's filter uses Skin Segmentation technology developed by Facebook Reality Labs to simulate a smooth tattoo projection that looks natural on the skin. This technology can detect differences between clothes, hair, and skin, which enables the tattoo filter to blend in seamlessly.

Araujo's tattoo filter uses designs from popular artist Lloyd Stratton. The designs consist of floral arrangements and stylized butterflies alongside more traditional pieces like skulls and knots. The tattoo filter has been applied over 100 million times since its inception. In the future, this software could be used to virtually preview real tattoos. Instagram users can access the tattoo filter by visiting Araujo's profile, accessing his 'Tattoo' highlight, and clicking on 'Try Rampage.'

Image Credit: Distractify

Virtual Try-on Filters
Creating software for trying on products virtually using augmented reality or machine learning could revolutionize the beauty industry.
Hyper-realistic Simulation
Developing advanced computer vision and machine learning algorithms to create more accurate and realistic simulations will have countless applications across industries.
Social Media-driven E-commerce
Leveraging the well-established user bases of popular social media platforms such as Instagram can be an opportunity to drive e-commerce sales and advertising revenue.

Industries Being Reshaped

Beauty and Cosmetics
Using augmented reality to create accurate makeup and skincare simulations to assist customers in finding the right products would provide a unique user experience in the beauty industry.
Gaming
Developing hyper-realistic avatars and environments through advanced computer vision algorithms could revolutionize the gaming industry, creating more immersive game experiences.
Fashion and Retail
Using virtual try-on technology with advanced computer vision algorithms can have exciting applications for online shopping and e-commerce, improving the accuracy of sizing and fit for customers.
SCORE
6.6 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, South America, Europe, Asia, Africa
GENERATION
  • Gen Z (primary audience)
  • Gen Alpha (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 88%
Activity 100%
Freshness 10%