Image classification is also called as image recognition; it is a subdomain of the computer. This is a technique that is widely used by the young generation people these days. open images dataset classification is not just of a single type; now, we will discuss about the classification so that understanding the term image classification becomes a bit easier.
Types of image classification
There is a variety of algorithm task that helps a person in solving the image classification. Mainly there are different types of classification techniques that are available as an option:
In this type of classification, the algorithm for the classification is trained with respect to a particul
Some of the popular methods of classification include the following:
- K nearest neighbors
- Decision trees
- Support vector machines
Hopefully, it is quite clear that data labeling is one of the essential parts of this type of classification.
- Single label classification
This is another form of classification that is available as an option for people. As the name of the classification suggests, for each image, a single label is given in this classification; as a result, it gives a single output that will represent the image.
- Multi-label classification
This is a type of classification according to which a single image can also have more than one label at a time. Not only this, but an image can contain all the images simultaneously also.
This type of classification is usually seen in the line of medicine, as a person can even have more than one disease at a point in time.
This is a type of learning in which only raw data are used for the purpose of training. Therefore, there are no classification tags generally in this type of learning.
Classification of this technique is mainly based on computer vision tasks in the form of video and 3D data.