<!-- canonical: https://www.trendhunter.com/trends/shoegazer -->
<!-- robots: noindex -->

# Shoe Recognition Apps
The 'Shoegazer' App Recognizes Shoes the Same Way Shazam Recognizes Music

By Joey Haar | Published 2016-11-26 | Fashion
Source: Trend Hunter, https://www.trendhunter.com/trends/shoegazer
References: [cnet](https://www.cnet.com/news/shazam-shoes-artificial-intelligence-ai-nike-reebok-kanye-west/) & [crowdcube](https://www.crowdcube.com/companies/happy-finish-group-limited/pitches/Z7QAmq)

'Shoegazer,' an app concept from Happy Finish, uses artificial intelligence to accurately recognize brands and makes of sneakers based on a picture taken from a smartphone. In the same way that Shazam uses transfer learning to recognize songs and artists, Shoegazer adds [image recognition](https://www.trendhunter.com/trends/carsnap) to be able to identify any shoe with a high degree of confidence.

Happy Finish is a British marketing agency, but the company's high-tech bent has led it towards developing [AI apps](https://www.trendhunter.com/trends/fashion-ai-platforms-ai-fashion-concierege-app-aesthetic-creates-a-tailored), and Shoegazer is a prime example. Though currently just a prototype, Shoegazer is able to [recognize most sneakers](https://www.trendhunter.com/trends/real-authentication) and other footwear with 95 percent certainty or higher. Further, it takes just 50 images in the Shoegazer database to get the AI to that level of confidence.

## Trend Insights (Trend Hunter)

- Score: 3.7/10
- Popularity: 41% | Activity: 63% | Freshness: 8%
- Audience gender: 50% men, 50% women
- Primary generations: Gen Z, Millennial
- Top markets: Europe

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Fashion](https://www.trendhunter.com/fashion) > [Shoes](https://www.trendhunter.com/shoes)

## Key Themes

### Key Themes Behind This Trend

- **Artificial Intelligence in Image Recognition:** Increased application of AI in image recognition technology to accurately identify brands and makes of shoes.
- **Transfer Learning:** Adaptation of transfer learning methods from music recognition to shoe recognition, allowing for more accurate identification.
- **High Confidence Shoe Recognition:** Developing apps like Shoegazer that can identify footwear with a high degree of confidence, paving the way for personalized shopping experiences.

### Where This Applies

- **Marketing and Advertising:** AI-powered shoe recognition apps have the potential to revolutionize marketing campaigns by accurately identifying shoe brands and leveraging personalized targeting.
- **Ecommerce:** Ecommerce platforms can benefit from shoe recognition apps by offering personalized recommendations and improving the user shopping experience.
- **Fashion and Retail:** Fashion and retail industries can utilize shoe recognition apps to provide personalized customer service, offer targeted promotions, and track consumer preferences.

## Related on Trend Hunter

- [Shoe Retailer AI Apps](https://www.trendhunter.com/trends/superstep.md)
- [Virtual Footwear Try-Ons](https://www.trendhunter.com/trends/try-on-tech.md)
- [Sneaker-Validating AI Tools](https://www.trendhunter.com/trends/osmo-ai.md)
- [AI-Powered Shoe Scanners](https://www.trendhunter.com/trends/aetrex.md)
- [Shoe Mileage Trackers](https://www.trendhunter.com/trends/shoes-lifespan.md)
- [Smartphone-Controlling Sneakers](https://www.trendhunter.com/trends/samsung-shortcut-sneaker.md)
- [Fashion-Focused AI Applications](https://www.trendhunter.com/trends/findgpt.md)
- [AI-Backed Sneaker Design Platforms](https://www.trendhunter.com/trends/airimagination.md)
- [Footwear Product Image Generators](https://www.trendhunter.com/trends/shoe-fyi.md)
