Modified on
26 Jun 2023 07:54 pm
Skill-Lync
Have you ever wondered about the technology that recognizes your face and applies a filter while taking a snap? This augmented reality filter was discovered by a Ukrainian startup that taps into the fascinating technology called Computer Vision.
For applying filters, like placing the hat accurately on the head, the cameras use image processing technology which utilizes object detection algorithms.
From a broader perspective, this technology is used in medical image sensing, autonomous driving, remote sensing, face detection, and many other applications.
But how do they accurately identify the location and type of the object with precision?
To achieve this, engineers train the machine learning algorithms with predefined data sets, which then find the match between the real-time data and models.
Object detection is an application of computer vision in which the algorithm recognizes the image type and locates them in the frame using boundaries. It predicts the types and classes of the object within the vision range by recognizing various features like shape, edges, and color.
The computer vision object detection algorithm first locates the real-time or digital images in the frame and analyzes its features. Object detection can be achieved by two methods.
Human eyes can easily recognize the image and locate it. Our brains are trained over the years to identify the object and shapes. In a similar way, the algorithms must be trained using large data sets for object detection.
As mentioned earlier, for accurate prediction of objects, the cameras capture their features and process them to locate them in the frame and classify their types. Object detection in computer vision is one of the fundamental concepts Hundreds of datasets are available online for training DNN algorithms. These datasets store digital images in the form of CAD models that can be better understood by algorithms.
There are many generic datasets created with millions of images for different classes of object detection. Let us explore a few below.
Computer vision object detection technology is used in many applications, including face detection, species detection, clothing detention, and also in autonomous vehicles. Though there are many open-source data sets for object detection available, there may be a class imbalance.
To get a deeper knowledge of the world of computer vision and datasets, pursue a computer vision course offered by Skill-Lync. Talk to our experts to get complete course details.
Author
Navin Baskar
Author
Skill-Lync
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