Table of Contents
Introduction:
Huawei semantic segmentation is an image recognition service that recognizes the image and identifies them for the user. You recognize the image type with the help of this Huawei service. Huawei is providing you with aid of its HMS cor and AI ML Kit. Image identification service provides a well-defined idea for the app to recognize the parts of the image.
How does Huawei Semantic Segmentation work?
This service has a specific work layout according to which it works properly. The working layout has been discussed below:
The Huawei semantic segmentation service segments the same components of an image. This includes the following elements:
- Human body parts
- Plants, Herbs, and Shrubs
- Sky
- Animals, etc
The elements that Huawei semantic segmentation supports include every type of image like the sky, plant, food, flower, sand, mountain, etc. This Huawei service has a limitation in that it supports the segments of the static images and dynamic streams of the camera which means that it just supports fine segmentation. The (MIoU) mean intersection over union is a recognizer to measure the precision of segmentation and is far better than the industrial-level identifiers.
This service supports the following capabilities:
- Multiclass segmentation: The coordinate array of every image element is the return value. For instance, if a picture consists of four different elements such as body parts, sky, leaf, and cat. For this situation, the return value will be the coordinate array of the four different components. It is so that the applications can work out the next four elements, like, replacing these elements.
- Human body segmentation: In this type of coordinate array the return value will have the elements like the human parts, the whole body picture having a clear background with a transparent surface, or having the image with the grayscale merged with black and white background and human body parts. The application will be able to further process the array elements according to the return values of the elements. For example, replacing the background of the movie or video. It is also helpful in cutting and copying the human body from a picture.
- Hair segmentation: The return value for this situation will have a different coordinate array which means that the major element of the array will be hair. In other words, the array in a selfie is returned to further proceed with the hair element like hair color replacement.
Use Cases:
Huawei semantic segmentation is widely used in photo editing applications.
For example,
- For changing the background of the image
- For changing the hair color
- For optimizing the plant’s element
- For changing the face or replacing the face.
But must make sure that you are not using it for illegal purposes.
Precautions for usage:
The model packages this service provides are given below:
are provided:
- Model package for Human model segmentation: It is used for replacing the human body parts
- Model package for multi-class segmentation: It is used to replace the elements like the sky, flowers, water, sand, cats, elephants, dog, mountains, etc.
- Model package for hair segmentation: For hair only
Final words:
So, in short, this Huawei service is used to identify and replace the parts of an image during image editing. A concise knowledge of the semantic segmentation by Huawei has been discussed in this article.
