These resources are used to train AI vision and software research coupled with the fact that we are constantly making bots better the exact same CAPTCHA security meant to keep them out. There is an ever-increasing visual database of over 14 million hand-annotated images with thousands and hundreds of images per node on ImageNet. So far natural images have proven to be able to keep bots at bay especially using ‘adversarial images’ which is particularly difficult for AI vision to read. However, none of these methods are foolproof as well due to the increasing complexity of machine intelligence and human input. Also, hCaptcha and Sweet Captcha screen bots by asking users to match items in the same category. They all have different methods for screening for bots, Honeypot uses a field that is hidden to human users but visible to bots so any data entering the field is considered to be from a bot. Other popular CAPTCHA options are Honeypot, hCaptcha, Sweet Captcha, NuCapctha and so on. These benefits Google derives makes it free, but it recently started charging Enterprise tier fee which is undisclosed which made Cloudflare ditch them. While it is free for most, solving CAPTCHA helped Google digitize its Googlsibe te Books and improve Google Street View as well as its image recognition software. The search engine giant bought reCAPTCHA in 2009 from the Carnegie Mellon team. Mind you, Google is not the only provider of CAPTCHA services. Then, the adoption of the use of natural images rather than synthetic image with distorted text was born, giving rise to the image grid we often see now. Its machine-learning algorithm was able to solve complex to distorted CAPTCHA text at a 99.8% accuracy while humans fell short at a miserly 33%.
By solving all those CAPTCHAs, the AI eventually becomes so good at solving it, even better than humans.Ī classic case of student being better than the teacher is Google’s reCAPTCHA experiment back in 2014. However, CAPTCHA in itself is a tool for training AI. Ultimately, CAPTCHA is a filter or selectively permeable barrier meant to keep bots out and let humans in. Early versions of CAPTCHA (2000s) Still the early version of CAPTCHA: in order to make it more difficult for bots the text became more obscured Adoption of images from Google’s Street View Use of natural images became a better option Use of adversarial images to throw off bots was adopted and is still very much in use.
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