Artificial intelligence and machine learning concepts are mixed in human life today. Many social media applications, smart home systems, music recommended to you in online music applications appear in many areas, such as people.
An increasingly popular area in artificial intelligence operations is image recognition. Let’s take a look at the concept of image recognition, aka image processing.
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What is Image Recognition
Image recognition is the ability of a computer-assisted camera to identify and detect objects or features in a digital image or video. We can speak of this method as an analysis used to capture, process, analyze and sympathize images. To identify and detect images, computers use machine vision technology powered by an artificial intelligence system.
How Image Recognition Works
Image recognition technology works by detecting salient regions, which are the parts that contain the most information about the image or object. It does this by isolating the most informative parts or features in a selected image and localizing them while ignoring the rest of the features that might not receive much attention. The process uses an image recognition algorithm, also known as an image classifier, that takes an image as input and extracts what the image contains. For an algorithm to know what an image contains, it must be trained to learn the differences between classes.
In this article, we will list the top 5 image recognition APIs that you can integrate into your projects.
Video Intelligence API, developed by Google, detects objects, changing scenes, and video content in videos. Converts speech to text. The Video Intelligence API can be used for asynchronous or streaming videos.
Tensorflow Object Detection API is a powerful tool that allows us to build custom object detectors based on pre-trained models even if we don’t have strong AI knowledge or strong TensorFlow knowledge. We can say that it is a tool that allows us to use the pre-trained models offered by Google for object recognition.
With Amazon Rekognition service, you can easily analyze images and videos. With the service, you can identify objects, text, people, activities and scenes in pictures and videos. You can also perform precise facial analysis and comparison, verify and catalog them.
If you are developing an application with a video in it, you can detect people in the video and find out where they are. You can also match the human faces you recorded before in the video on the stream.
Ximilar provides a very successful object detection process on videos with the API it provides. The biggest difference of Ximilar from other image recognition services is that it can provide support for different domains previously trained according to the type of businesses. For example, it has customized and reinforced algorithms for many other domains such as fashion, e-commerce, industry.
Ximilar has started to become very attractive for businesses by offering flexible and affordable packages.
ImageAI is a machine learning library for Python with a very active development environment on GitHub with a lot of source code. It consists of thousands of contributors and users.
It provides a wide range of services such as Image Recognition, Object Detection and Video Detection and Analysis to developers, developers and businesses.