Do you want to know how image retrieval systems can benefit from an object classification API? If so, keep reading to find out!
Let’s start by explaining what image classification is. This is a technology that helps you to categorize images based on what they contain with the use of AI and machine learning. There are many different ways to use image classification; but we’re going to focus on one of its main use cases: classifying objects in images. By employing a tool like this, you’ll be able to label different types of objects in an image or categorize them by color. Hence, the practice of categorizing and labeling photos according to what is seen in them is known as object categorization.
Since many companies are now integrating deep learning technology in their apps and products; object classification is now necessary. For instance, in order to avoid crashes when autonomously driving; self-driving cars must be able to identify various items on the road, such as pedestrians, cyclists, or other vehicles. Polygon, semantic, and key point annotation are a few object detection approaches that can be used; depending on how complicated the object present in the image is.
How Can Image Retrieval Systems Benefit From An Object Classification API
- Improved search outcomes. An object categorization API helps image retireval systems improve photo SEO optimization. Viewers will be able to locate the precise image they require by searching for pertinent keywords for that image.
- An improved user experience. With the use of an object categorization API; it is possible to create a user experience that automatically groups pictures into pre-determined categories like “food” or “tops,” etc.
- Higher rates of conversion. You may improve your conversion rate by making sure that customers only see products on your website that are pertinent to their search.
The key benefit of using these APIs is that you don’t need to have any prior knowledge of machine learning or artificial intelligence; you can simply provide the URL of your image and receive the result along with information about the category, item, and object type. Additionally, nothing needs to be installed; all you need is a reliable API provider. Therefore, we advise starting with a trustworthy API that has recently been well-known due to its efficacy; we are referring to Clapicks.
The purpose of Clapicks is to assist image retrieval systems, among others; in classifying and categorizing any images kept in their databases. With the help of this API, huge collections of unstructured photos can be automatically analyzed, arranged, and searched.
How To Get Started With This API
First, sign up to open a Clapicks account. You will then be given an API key, which you must use each time you communicate with the API. The next step is to validate your API key before making any API calls. This method is quick and easy. By simply including your bearer token in the authorization header, you can instantly verify your API key. Afterwards, enter the URL of the image you want to categorize. Last but not least, call the API and wait a short while for the responses.
That’s basically it! In a matter of seconds, Clapicks will provide the results with an accurate and helpful classification, along with a detailed summary of every category the image is categorized under.
Related post: Object Detection APIs: A Step By Step Guide For Beginners
Also published on Medium.