Are you looking for APIs that can help you delete inappropriate content on your webpage? If so then you’ve arrived to the right place! In this article we are going to introduce you to the best classification APIs available on the market to detect and block this type of content in a second!
Images containing adult content are harmful to Internet users, the majority of whom are minors. It may be simple to identify obviously indecent photos, but it can be much more difficult to do so with less explicit images. And that is why it is therefore critical to manage and detect adult content images using multimedia processing and computer vision techniques.
Today, the content of shows on networks and social media is rapidly evolving. The amount of illegal content on the Internet has also increased significantly. Like we mentioned above and as you may know, children are among the most vulnerable group online. They are commonly oblivious to the risks that surround them, making them especially defenseless to fraud, cyber bullying, and pornographic content. As a result, it is critical to keep track of what they are doing online.
Why Should You Use An Image Classification API?
Image classification APIs can be used to detect images that are inappropriate for your site. Since image recognition necessitates a sophisticated understanding of contextual knowledge as well as simultaneous processing, human visual performance is unparalleled and significantly superior to that of machines. When we see an object or scene, we immediately recognize it as a distinct instance and have a tendency to associate it.
In the other hand, image moderation is a regular part of almost every internet business’s operations. It is not only expected, but frequently required, to provide appropriate, safe content, especially when it will be publicly available and within children’s reach. Manual photo moderation is time-consuming, expensive, and frequently insufficient to meet the demand for easily accessible content.
As a result, several picture content-based algorithms in computer vision have recently been developed. You can use image classification APIs to detect this type of content and immediately block it. And this is why we are introducing you to the best 3 options that you can use to avoid the inappropriate content.
Top 3 Best Image Classification APIs.
1- Clapicks.
Clapicks was designed to aid businesses categorize and organize any images they may have in their databases, as well as perform content moderation. You can use this API to search through large collections of unstructured photographs and perform automatic searching, sorting, and analysis on them. There are several options for photo analysis and interpretation available via an internet service.
This API will produce accurate categorization results if you provide the URL of any image you want to classify. Clapicks automates the process of categorizing unclassified images into categories to help businesses quickly classify photographs so they can focus on other tasks. It also allows you to block any adult content that you do not want to appear on your website.
2- Computer Vision By Azure.
Microsoft Azure’s Computer Vision API is an AI tool that analyzes the content of images and videos. Video content can be instantly analyzed, text from movies can be extracted automatically, and image captions can be generated. Furthermore, you do not need to be a machine learning expert to use this tool.
This API can assist you in evaluating the content of a video. The Microsoft Computer Vision API makes it extremely simple to set up and carry out image processing. With a few simple API commands, you can quickly process photographs and find the data you need.
3– Imagga.
This API enables organizations to include image capabilities in their software and applications. As matching criteria during the search, supervised learning and the gathering of perceptual and lexical data following categorization are used. After gathering the image’s metadata, the search engine of Imagga looks through the picture database for the best matches based on semantic, color, category, or operational similarity.