How does an image classificaiton API work?
An image classifier is a type of machine learning algorithm that is used to identify and categorize images. There are a number of different types of image classifiers, but they all work in the same basic way. First, an image is fed into the classifier. Then, the classifier uses machine learning algorithms to analyze the image and determine what it contains. The result is a probability score that indicates the likelihood that the image belongs to a particular category. The score can then be used to make decisions or predictions.
In order to classify images, an image classification API needs to be trained on a dataset of images that have already been classified.The dataset should have a label for each image that indicates what is in it. Then, the API will use this information to train an algorithm to identify similar images. This is done by comparing the features of each image with those of others in the dataset. Once the training is complete, the API will be able to identify similar images or objects in new images based on their features.
How to use this tool?
Be able to recognize the vehicle that is inside of a given picture. This API will help you to categorize your images by content.
You can check Vehicle Classification API for free here.
