Object Detection In Machine Learning

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Object Detection

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

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.

Object Detection

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

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.

Object Detection In Azure

Two Methods are used to detect the object in Azure:

Custom Vision: A dedicated resource for the custom vision service, which can be either a Training or a Prediction resource.

Cognitive Services: A general cognitive services resource that includes Custom Vision along with many other cognitive services. We can use this type of resource for Training, Prediction, or both.

Application Of Object Detection

There are some useful Algorithms like HOG, SORT, GOTURN, and MDNet for Object detection In Machine Learning:

 

Histogram of oriented gradients (HOG): HOG is a feature descriptor. A feature descriptor is a representation of an image or parts of an image known as patches that extract useful information for the model to interpret, such as information like a human or textual data and ignores the background.

 

Real-Life Application

  • People Counting: Object detection can be utilized for People counting. It is utilized for group measurements during festivals or in the Mall as well.

  • Automated CCTV surveillance: Using this technology CCTV camera can be upgraded and it can automatically detect the objects and send useful information to the admin.

  • Self Driving Cars: Using Object Detection Technology, No need to drive a car it can be run automatically.

  • Face detection and Face recognition: Is widely used in security and on various social media platforms (like face unlock system, Facebook)

  • Identity verification through IRIS code: Iris recognition is one of the most accurate identity verification systems which uses an Object Detection & Tracking algorithm.

  • Ball tracking in Sports: Record the video frame according to the movement of the ball automatically