Improving Custom Vision cognitive services model

Document Type : Original Article

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High Institute for Computers and Information Systems Al- Shorouk Academy Cairo – Egypt

Abstract

Computer vision is a branch of artificial intelligence that enables computers and systems to extract valuable information from digital pictures, movies, and other visual inputs to solve realworld visual problems. Machine learning is a branch of artificial intelligence. Deep learning is a subfield of machine learning. Cognitive Services are a set of machine learning approaches based on data mining. Cognitive Machine Learning is a sort of artificial intelligence designed to solve problems (AI). Computer vision technology powered by Deep Learning (DL) delivers real-world value to a variety of industries.
Deep learning is used to evaluate photos in the Custom Vision service. Custom Vision employs a variety of deep learning models in the system, each of which is tuned for a certain goal, such as accuracy, training and inference speed, memory cost, and so on. Advanced training will use the Auto Machine learning system in the backend, which delivers superior training performance. Quick training only trains with a few default configurations, which costs less for training. By embedding cloud vision capabilities as part of Azure Cognitive Services, you can extract rich information from photos and video, analyze images and video in real time, and create solutions that more people can use. the research Label content with objects and concepts, extract language, generate image descriptions, censor content, and analyze people's movement in physical environments using visual data processing. The primary goal of this work is to present and demonstrate how to use Custom Vision cloud services, we’ll go through what these services are, when they should be used, and how they can help business in different domain.

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