Video Understanding

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.

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.

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

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

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

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

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

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

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

Partitioning an image into multiple segments or regions, assigning each pixel to a specific class or object.