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No matter how familiar you are with Artificial Intelligence or how uncertain you are about its potential, our experts will help you determine how to utilise this technology best to support your ideas. You will save time and money by using this approach to mitigate project risks.
Image classification is a subfield of artificial intelligence (AI) that uses algorithms to classify images into predefined categories. Many industries, including healthcare, manufacturing, and entertainment, use computer vision and have numerous practical applications.
A dataset with known labels is used to train an AI model. Using the information from the images associated with each label, the model makes predictions on new, unseen images. Training data quality, and training algorithm determine the accuracy of the model.
Object detection is a computer vision technique that involves identifying and localizing objects within images or videos. A major application of artificial intelligence (AI) is surveillance, self-driving cars, and robotics, among others.
A model of artificial intelligence is trained to recognize and locate objects within an image or video. The model identifies the object's class or category, such as a person, automobile, or bicycle, and its position and size within an image.
Ex: When the model detects a pedestrian crossing the street, a signal may be sent to the car's control system to slow down or stop.
Machine learning and natural language processing (NLP) techniques enable intelligent document understanding, a subfield of artificial intelligence (AI). It enables organizations to streamline document management, and enhance customer experiences using AI.
Documents such as invoices, contracts, resumes, and medical records are analyzed by AI models. Using models, you can assist in identifying and extracting details, such as names, dates, and addresses, as well as financial data.
Ex:An AI model may be trained to extract relevant information from medical imaging reports, such as MRIs and CT scans.