Do you want to know how to do semantic segmentation using an image classification API? If so, keep reading to find out how!
The practice of categorizing and labeling photos according to what is seen in them is known as semantic segmentation. It is also known as image detection and object classification. Since many companies are now integrating deep learning technology in their apps and products, this feature is now necessary. Just consider, in order to avoid security breaches, smartphone now employ APIs for face recognition identify the user microexpressions and personal features.
But without a doubt, the most important part of digital image analysis is picture segmentation. This is because, it uses AI-based deep learning models to examine photos, and the results now outperform human skill in a number of tasks (for example, in face recognition). So, it is no wonder why many businesses have turned to image classification APIs. These tools allow for accurate semantic segmentation withind seconds, and helps organize their own image database.
What Is An Image Classification API?
First of all, an application programming interface (API for short), allows two different software to communicate in order to retrieve and request precise data. So, an API for image classification is a tool that automatically categorize your images based on its object detection and semantic segmentation.
An image classification API can be used to categorize images in a variety of ways. The most common are object detection and semantic segmentation. Object detection uses color and shape information to identify objects in images; while semantic segmentation uses color and shape information to assign each pixel in an image with a label that describes its function or location within the entire picture.
Additionally, almost every type of API is user-friendly. This is due to the simplicity of using one—all you need is a computer, an internet connection, and a dependable API provider that provides image classification, along with object detection, and semantic segmentation. Therefore, we advise starting with a trustworthy API that has recently been extremely popular owing to its effectiveness; we are referring about Clapicks.
Clapicks is a helpful API that allows you to automatically categorize your image content. This API is a collection of visual management and interpretation capabilities that acts as a technological foundation.
Due to its use of cutting-edge technology and advanced machine learning algorithms; Clapicks browses through enormous libraries of arbitrary photographs while automatically classifying and analyzing them.
How To Use This API For Semantic Segmentation
- Create a Clapicks account by signing up. After that, you will get an API key that you must use each time you contact the API.
- Next, verify your API key in order to make API calls. This process is quick and simple. Simply add your bearer token to the authorization header.
- Enter the URL of the image you wish to classify.
- Call the API, and wait for the results for a few seconds.
That’s pretty much it; Clapicks will answer in a couple of seconds with a precise and useful classification. Also, it will provide you with a detailed list of each category that the image is classified under. In addition, the confidence score for the image, which ranges from 0 to 1, improves object recognition performance as it approaches 1.
Related post: How To Uncover Actionable Data With Object Classification APIs
Also published on Medium.