Image Segmentation

Semantic Segmentation

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

Instance Segmentation

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

Panoptic Segmentation

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

Feature Extraction

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

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

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

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

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

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

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

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

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