Here is an interesting puzzle for Google: it created an algorithm that is much better when reading street numbers in street-browsing images, which helps it give you more accurate directions. At the same time, although it turns out that this algorithm is so good, it can decipher 99 percent of the distorted (these wavy text riddles that you often need to guess to prove that you are human). The new Google algorithm for finding street house numbers can accurately detect and read complex house numbers up to 90 percent of the time Google has revealed today. According to a joint document, Google Street View and ReCAPTCHA teams (PDF), recognizing this kind of data natural photo problem is quite difficult. Just think of all the lighting options and problems with movement and focus blur. At the same time, it’s also important for Google’s mapping efforts to capture data from these images. The standard approach is to highlight localization, segmentation and recognition steps, but Google's new approach combines all these steps and uses a "deep convolutional neural network" - a kind of neural network that is particularly effective for image recognition. With the help of Google publicly available street number houses the kind of data set, the algorithm is about 96 percent accurate. On a basis-valued, this is 97,84% accurate. Regularly viewing street images is a bit more complicated, which explains why it's "only" 90 percent accurate on this data. So far, Google says that the system helped it to extract 100 million numbers around the world near the street. To test the algorithm, Google also let it free on its own reCAPTCHA puzzle. There it is accurate on difficult reCAPTCHA puzzles 99,8 percent. Considering that the whole idea behind Captcha is that they are too difficult for computers to deal with which are quite a stunning number and accuracy is probably better than most people (at least I know that I do not get anywhere near 99,8% accuracy, when I try to solve the captcha ...). This is obviously a problem for reCAPTCHA, because developers who are less interested in science behind this can take advantage of this spam blog comments, for example. Google, however, says that its CAPTCHA system is now less dependent on decoding the garbled text than ever before. Instead, reCAPTCHA now looks at a wider range of keys. Typing text is only one key, but Google now looks at it as "a means of interaction causing a wide range of signals that characterize people and robots."comments powered by HyperComments
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