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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.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]
HTML editors that support What You See Is What You Get paradigm provide a user interface similar to a word processor for creating HTML documents, as an alternative to manual coding. [1] Achieving true WYSIWYG however is not always possible.
SSGs typically consist of a template written in HTML with a templating system, such as liquid (Jekyll) or Go template (Hugo). The same structure (typically a Git repository) includes content in a plain-text format such as Markdown or reStructuredText , or in a structural meta format such as JSON or XML .
Figure Eight (formerly known as Dolores Labs, CrowdFlower) was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco. Figure Eight technology uses human intelligence to do simple tasks such as transcribing text or annotating images to train machine learning algorithms.
Produces an HTML list that can be collapsed Template parameters [Edit template data] This template prefers block formatting of parameters. Parameter Description Type Status Title title The list's title (Always in view beside the list's [show/hide] link). String suggested Horizontal list hlist Use value 'on' or 'true' to produce a horizontal rather than vertical list Suggested values on true ...