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Microsoft unveiled their implementation of DALL-E 2 in their Designer app and Image Creator tool included in Bing and Microsoft Edge. [13] The API operates on a cost-per-image basis, with prices varying depending on image resolution. Volume discounts are available to companies working with OpenAI's enterprise team. [14]
The user can customize the theme and color scheme of the Bing Bar and choose which MSN content buttons to display. Bing Bar also has the local weather forecast and stock market positions. [78] The Bing Bar integrates with the Bing search engine. It allows searches on other Bing services such as Images, Video, News and Maps.
In March 2023, Bing incorporated Image Creator, an AI image generator powered by OpenAI's DALL-E 2, which can be accessed either through the chat function or a standalone image-generating website. [41] In October, the image-generating tool was updated to use the more recent DALL-E 3. [42]
Visual content follows a similar trend. Since the launch of DALL-E 2 in 2022, it is estimated that an average of 34 million images have been created daily. As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [187]
An example of user-generated content, a personalised sign and objects in the virtual world of Second Life. User-generated content (UGC), alternatively known as user-created content (UCC), emerged from the rise of intelligent web services which allow a system's users to create content, such as images, videos, audio, text, testimonials, and software (e.g. video game mods) and interact with other ...
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Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.
Given images containing various known objects in the world, a classifier can be learned from them to automatically classify the objects in future images. Simple classifiers built based on some image feature of the object tend to be weak in categorization performance. Using boosting methods for object categorization is a way to unify the weak ...