Computer Vision

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.

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.

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

Classifying every pixel in an image into a predefined category without distinguishing between individual object instances.

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

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

The computer vision task of detecting the position and orientation of a person's body joints in images or video.

A rectangular region drawn around an object in an image to indicate its location for object detection tasks.

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

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