In its research blog, Google has opened source the latest iteration of its image recognition system, which uses research findings that intersect between computer vision and machine learning. The system analyzes the image and then describes what it thinks is the object. We’ve already seen image recognition systems from Google and Microsoft, among other IT companies, and Microsoft has even made its image recognition system available for download as an app called CaptionBot.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include editing robots, writing robots and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
But according to Google, the latest version of its image recognition system outperforms previous versions, with significantly improved accuracy. The system is now 93.9 percent accurate, compared with 89.6 percent for the previous version. More impressively, the amount of time it takes users to provide images for training has dropped by a whopping 75%
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
In other words, Google’s new system recognizes faces in images faster and better. Google has opened source and released the system so that users can download their own images to train them.