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  2. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    Training a text-to-image model requires a dataset of images paired with text captions. One dataset commonly used for this purpose is the COCO dataset. Released by Microsoft in 2014, COCO consists of around 123,000 images depicting a diversity of objects with five captions per image, generated by human annotators.

  3. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Users can use Midjourney through Discord either through their official Discord server, by directly messaging the bot, or by inviting the bot to a third-party server. To generate images, users use the /imagine command and type in a prompt; [23] the bot then returns a set of four images, which users are given the option to upscale. To generate ...

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media). They are commonly used for text-to-image generation and neural style transfer. [54]

  5. List of manual image annotation tools - Wikipedia

    en.wikipedia.org/wiki/List_of_manual_image...

    Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which caption from a list of 32,768 captions randomly selected from the dataset (of which one was the correct answer) is most ...

  7. Bills' new stadium costs balloon to $2.1 billion, $560 ... - AOL

    www.aol.com/bills-stadium-costs-balloon-2...

    The projected cost of the Buffalo Bills' new stadium has ballooned to what team officials on Friday told The Associated Press is “north of $2.1 billion,” with owners Terry and Kim Pegula ...

  8. Automatic image annotation - Wikipedia

    en.wikipedia.org/wiki/Automatic_image_annotation

    The advantages of automatic image annotation versus content-based image retrieval (CBIR) are that queries can be more naturally specified by the user. [1] At present, Content-Based Image Retrieval (CBIR) generally requires users to search by image concepts such as color and texture or by finding example queries. However, certain image features ...

  9. US clears export of advanced AI chips to UAE under ... - AOL

    www.aol.com/news/us-clears-export-advanced-ai...

    Microsoft invested $1.5 billion in G42 earlier this year, giving the U.S. company a minority stake and a board seat. As part of the deal, G42 would use Microsoft's cloud services to run its AI ...