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Image recognition is an AI capability that enables machines to identify and categorise objects, people, scenes, or other elements within images. It uses deep learning models — typically convolutional neural networks — trained on large datasets of labelled images.
Image recognition automates visual tasks at scale, enabling applications from medical imaging diagnostics to retail inventory management.
Google Photos uses image recognition to automatically sort your photos by the people, places, and objects they contain, without you adding any tags.
Computer Vision
Computer vision is a field of AI that enables machines to interpret and understand visual information from images and videos. It uses deep learning models to detect objects, recognise faces, read text, and analyse scenes.
Convolutional Neural Network (CNN)
A convolutional neural network is a type of deep learning model specifically designed for processing grid-like data such as images. It uses special layers called convolutional layers that automatically learn to detect visual features like edges, textures, and shapes.
Classification
Classification is a type of supervised learning where the model learns to assign input data to predefined categories or labels. The model is trained on labelled examples and then predicts which category new, unseen data belongs to.
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