Optical Character Recognition

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.

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.

Image Captioning

Automatically generating natural language descriptions of the content depicted in 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.

Applying the visual style of one image to the content of another image using neural networks.

The AI subsystem in autonomous vehicles that interprets sensor data to understand the surrounding environment.

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

The pattern of apparent motion of objects in a visual scene caused by relative movement between an observer and the scene.

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

The process of identifying and extracting relevant visual features from images for downstream analysis.

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.