Image classification in c

1. What is image classification with example?
2. What are the classification of image?
3. Which algorithm is best for image classification?
4. What is CNN image classification?

What is image classification with example?

The task of identifying what an image represents is called image classification. An image classification model is trained to recognize various classes of images. For example, you may train a model to recognize photos representing three different types of animals: rabbits, hamsters, and dogs.

What are the classification of image?

Image classification is the process of categorizing and labeling groups of pixels or vectors within an image based on specific rules. The categorization law can be devised using one or more spectral or textural characteristics. Two general methods of classification are 'supervised' and 'unsupervised'.

Which algorithm is best for image classification?

Convolutional Neural Networks (CNNs) is the most popular neural network model being used for image classification problem.

What is CNN image classification?

CNN is a powerful algorithm for image processing. These algorithms are currently the best algorithms we have for the automated processing of images. Many companies use these algorithms to do things like identifying the objects in an image. Images contain data of RGB combination.