Describe the Image – Computer Vision
Describe the Image
The confidence score for each feature and the set of tags in each image are used to figure out what an image is about. These descriptions can be used in special cases, such as when an image doesn’t load soon enough on social media or when intricate details of an image are to be known.
Detecting Faces
We can have this service detect and scan a face out of an image. This becomes really useful when we have to blur a face in a video for security purposes. Furthermore, this service is in high demand for face-swapping and gender-swapping AI apps.
Detect the Color Scheme
Color schemes can be used to find out which color is the main one in an image and which is an accent color. This service is highly used by photo editors on mobile phones.
Get the Area of Interest
With this method, we can look at an image’s contents and get the coordinates of the area of interest.
Custom Vision
Custom Vision in Azure is a service that lets you build, deploy, and improve your own custom-built image identifier model. An image identifier is the biggest tool for image classification in any system. It gives labels to different things in an image based on what they look like.
Image Classification Using the Azure Custom Vision Service
With almost no amount of coding, we can get the Azure Custom Vision service to make us an image classification model to add tags to the images for the classification of objects in them. Once these models have been properly tested, a prediction key and a prediction URL make it easy to use them.
Object Detection Using Azure Custom Vision Service
Multiple objects can be detected using the Azure Custom Vision service. After having them detected, we can draw boxes around these objects to classify them. Once our object detection model is tested, we can run it anywhere, for example, in our application.
Face
This service gives you an algorithm that analyzes, recognizes, and looks for human faces in an image. Face recognition is used for things like checking someone’s identity, letting people in without touching anything, and blurring images for privacy and safety.
The following are some of the use cases of the Azure Face API.
