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# Neural Network Drawing Games
'Quick, Draw!' Teaches Google's Neural Network to Recognize Drawings

By Joey Haar | Published 2016-11-17 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/quick-draw
References: [kotaku](http://kotaku.com/new-google-experiment-tries-to-guess-what-your-crappy-d-1789042784) & [quickdraw.withgoogle](https://quickdraw.withgoogle.com/)

'Quick, Draw!' is part of [Google](https://www.trendhunter.com/trends/pictionary-vs-ai) Experiments' crowdsourcing campaign to teach the company's [neural networks](https://www.trendhunter.com/trends/google-project-genie) about a host of different things. In particular, Quick, Draw! focuses on teaching the artificial intelligence software to recognize incredibly rough sketches of basic objects. Rather than a staid laboratory experiment, though, Quick, Draw! is a [fun and addictive game](https://www.trendhunter.com/trends/quickriddle) that will make users forget the scientific implications of the task at hand.

The format of Quick, Draw! is simple: users have to draw objects with just their cursors or their fingers (depending on whether they're playing on a touchscreen or a computer) in 20 seconds or less. The object of the game is to draw the object well enough so that Google's neural network can guess what was drawn. Even in the early stages of the game's release, the AI's accuracy is astounding.

## Trend Insights (Trend Hunter)

- Score: 3.5/10
- Popularity: 53% | Activity: 44% | Freshness: 8%
- Audience gender: 50% men, 50% women
- Primary generations: Gen Z, Millennial, Gen X
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What Makes This Trend Stand Out

- **Crowdsourced Neural Networks:** Companies can leverage crowdsourcing to train their neural networks and improve accuracy.
- **AI-powered Games:** Developing fun and addictive games powered by artificial intelligence offers new opportunities to engage with users.
- **Sketch-based Recognition:** Advancements in sketch-based recognition technology lead to better object recognition and automation in industries like manufacturing and logistics.

### Sectors Adopting This

- **Technology:** Tech companies can use Quick, Draw! as inspiration for developing their own neural network training game.
- **Gaming:** Gaming companies can explore opportunities to incorporate AI-powered features into their games to create new experiences.
- **Manufacturing:** Sketch-based recognition technology can improve automation and quality control in manufacturing processes, reducing costs and increasing efficiency.

## Related on Trend Hunter

- [AI Drawing Games](https://www.trendhunter.com/trends/pictionary-vs-ai.md)
- [AI-Powered Drawing game](https://www.trendhunter.com/trends/doodle-play.md)
- [AI Drawing Games](https://www.trendhunter.com/trends/evined-draw.md)
- [AI Image Generation Games](https://www.trendhunter.com/trends/say-what-you-see.md)
- [AI-Generated Guessing Games](https://www.trendhunter.com/trends/human-or-ai.md)
- [AI Image Challenges](https://www.trendhunter.com/trends/ai-or-real.md)
- [AI Art Tutors](https://www.trendhunter.com/trends/simply-draw.md)
- [AI Image Trivia](https://www.trendhunter.com/trends/guess-the-ai.md)
- [Gamified AI Learning](https://www.trendhunter.com/trends/secret-prompter.md)
