Google recently made a splash with its QuickDraw experiment, which challenged users to get a machine learning algorithm to guess what they were drawing as quickly as possible, and the company is putting the data it collected from that game to use with the new Google AutoDraw tool. The tool, which is currently set up as an independent website, will immediately process the images that users are drawing and supply them with a set of stock images that it believes the user was trying to draw.
In and of itself, Google AutoDraw is more of a gimmick than a useful tool. Users are usually more inclined to simply play and explore the blank canvas than to actually use the tool for anything practical. Nonetheless, the impressive accuracy that it offers (especially considering the noted lack of artistic expertise from at least one user) could easily translate to more pragmatic software.
Automatic Drawing Software
Google AutoDraw Suggests Cleaned Up Versions of Simple Images
Trend Themes
1. Machine Learning Algorithms for Drawing - Developing machine learning algorithms for image creation and manipulation can lead to more practical software applications in the future.
2. Image Recognition for Stock Images - An opportunity to create an image recognition tool that can identify what the user is drawing and provide accurate stock images based on their intention.
3. Gamifying Creative Processes - Creating games and tools that make creative processes more engaging and interactive for users.
Industry Implications
1. Graphic Design - Developing software that can generate stock images using machine learning algorithms can streamline and simplify the graphic design process.
2. Artificial Intelligence - Integrating image recognition and machine learning algorithms in industries that require image manipulation such as artificial intelligence.
3. Entertainment and Gaming - Designing creative games and tools for users to engage in during their leisure time.