Object Detection And
Tracking In Azure Machine
July 28, 2020 by Jayesh Pandey 4 Comments
Machine learning is a subset of artificial intelligence where statistical
methods are used to help a computer improve at a task with training and
experience. Object Detection and Tracking in Machine Learning are
widely used in Computer Vision. We can also deploy this Technology on the
cloud with the help of various cloud vendors like Microsoft Azure. This
topic is covered in [AI-900] Microsoft Certified Azure AI Fundamentals
In this post, we will cover
Overview of Object Detection and Tracking
Object Detection on Azure
Overview Of Object Detection
Object Detection and Tracking in Machine Learning are among the
widely used technology in various fields of IT industries. Object identification
is a type of AI-based PC vision in which a model is prepared to perceive
singular kinds of items in a picture and to distinguish their area in the
picture. An item can be a face, a human, a line of individuals, as well as
a product on an assembly line.
Also Read : Our Blog Post on Automated Machine Learning.
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Also Read : Our Previous Blog on AutoML ( Automated Machine Learning )
Object detection is a technology related to computer vision and image
processing that deals with detecting and locating objects of a certain
class (such as humans, buildings, or cars) in digital images and videos.
Check Out: Our Previous Blog On Azure Cognitive Services.
Object tracking is a field that can help to track moving objects when they
move across several video frames with the help of Machine-learning. In
Machine-learning accuracy and analysis power of object detection vastly
improved. Objects can be people, but may also be animals, vehicles, or
other objects of interest such as the ball in a game of soccer.