👁️ Computer Vision and Language Technology

A rectangular marker that shows where an object or text region appears in an image, usually by its position, width and height.

Computer vision enables software to analyse images or video and produce useful outputs such as labels, locations, measurements or text.

A computer vision method that compares face images or representations to estimate whether they show the same person.

A system assigns one or more predefined labels to an image based on patterns in its pixels.

Machine translation uses computer systems to convert text from one language into another using learned patterns, statistical methods or hand-built rules.

A set of computing methods for turning human language into structured signals that software can classify, search, translate, summarise or generate.

A method that turns words in an image or scanned page into machine-readable text that software can search, copy and analyse.

The smallest addressable picture element in a digital image, usually storing colour or brightness information at one tiny location.

A method that sorts text, speech transcripts or sometimes images into attitudes such as positive, negative or neutral.

Summarisation produces a shorter version of text or speech that keeps the main points and drops less important detail.

An organised collection of text or recorded speech used to study language or train and test language-processing systems.

A task that turns an image into a short written description, often to summarise visible content for search, accessibility or workflow support.

Image segmentation divides an image into pixel-level regions; semantic segmentation labels them as roads, buildings or water.

A system that assigns a user message or action to a goal category, such as asking for help, making a booking or reporting a problem.

This status applies to a language and task when useful data, software tools or evaluation material are limited for building and assessing technology.

A text-processing method that finds mentions such as people, organisations, places, dates or amounts and labels each mention by type.

A computer vision task that finds instances of chosen object types in an image or video and marks where each one appears.

A method that scans many documents and groups frequently co-occurring words into recurring themes, helping people see what a collection is mostly about.

A computer vision method that locates important body, face or hand points in an image or video and often links them into a skeleton-like layout.