Image Captioning

Computer Vision

The field of AI that enables computers to interpret and understand visual information from images and video.

Image Classification

The task of assigning a label or category to an entire image based on its visual content.

Object Detection

Identifying and locating specific objects within an image by drawing bounding boxes around them.

Optical Character Recognition

Technology that converts images of text into machine-readable text data.

Facial Recognition

Technology that identifies or verifies individuals by analysing facial features and patterns in images or video.

Depth Estimation

Predicting the distance of surfaces in a scene from the camera viewpoint using visual information.

Super Resolution

Enhancing the resolution and quality of images beyond their original pixel count using AI techniques.

Video Understanding

Analysing and interpreting the content, actions, and events within video sequences using computer vision.

Action Recognition

Identifying and classifying human actions or activities from video sequences.

Visual Question Answering

An AI task that generates natural language answers to questions about the content of images.

YOLO

You Only Look Once — a real-time object detection algorithm that processes entire images in a single neural network pass.

Data Labelling

The process of annotating raw data with informative tags or classifications for supervised machine learning training.

Simultaneous Localisation and Mapping using visual sensors to build a map while tracking position within it.

Creating new images from scratch using generative AI models like GANs, diffusion models, or VAEs.

A unified approach combining semantic and instance segmentation to provide complete scene understanding.

The process of capturing and creating three-dimensional models of real-world objects or environments from visual data.

Application of computer vision and deep learning to analyse medical images for diagnosis, screening, and treatment planning.

A set of data points in 3D space, typically generated by LiDAR or depth sensors, representing surface geometry.

The process of aligning two or more images of the same scene taken at different times, viewpoints, or by different sensors.

Detecting and delineating each distinct object instance in an image at the pixel level.