In this article, we will tackle the top 5 image recognition tools. Also, let us discuss the important benefits of recognition tools.
What Are Image Recognition Tools?
Image recognition tools are used to recognize and classify images. Many companies in the market use image recognition.
To rapidly evaluate a lot of data. So image recognition is a process of assigning a label or category to an image.
This label can include the following:
- Text
- Images
- Color
- shape, etc.
Now let us know the top 5 tools of image recognition. Also, these tools are used to solve problems related to the following:
- data collection
- image classification
- object detection
- semantic segmentation
Here are the top 5 image recognition tools from the following:
1. TensorFlow
TensorFlow is one of the latest image recognition tools used for image classification. Also, for object detection, etc.
This tool is open-source software. Its community is very active, and it has more than 100 contributors.
Also, it has more than 800,000 commits to its repository. TensorFlow is the leading software in the industry for machine learning.
Also, in deep learning applications. So it gives a high level of flexibility and speed for training and deploying AI models.
2. OpenCV
OpenCV is another image recognition tool. It is an open-source computer vision library.
Also, it is for object detection, classification, segmentation, etc.
In addition, it supports C++, C, Python, and Java. This software is based on the open-source library called the Open Source Computer Vision Library (OpenCV). So it has its SDKs for various platforms.
Also, it has more than 10 million downloads annually.
Lastly, OpenCV has more than 400 contributors.
And more than 2200 committers. So it is one of the top image recognition tools in the market today.
3. Google Cloud Vision API Image Recognition
Cloud Vision API is an image recognition tool that gives information about your images. Also, it provides you with the following information:
- categories of images
- text of an image’s content
- similar images to an image etc.
This tool is built on top of Google’s machine learning technologies including TensorFlow, AutoML Vision/Cloud AutoML, and Inception v3. This tool allows developers to leverage Google’s machine learning expertise.
So without having to build and maintain their machine learning models.
4. Microsoft Computer Vision SDK
Microsoft’s Computer Vision SDK is used for face detection, image classification, and barcode detection. Also, it has a high-quality image processing library.
So it is easy to use and integrate into applications. It also supports many programming languages such as Python, C#, and C++.
It also provides support for Windows and HoloLens devices.
Also, this tool supports Linux and macOS operating systems.
Lastly, this tool has a rich set of algorithms for image analysis and recognition. So its community is very active.
5. Clarifai Image Recognition Tool
Clarifai is an image recognition tool that uses artificial intelligence. So it is to automatically identify objects and categories.
Also, it uses machine learning to improve as it processes more images.
So it is one of the top tools in the market today for image recognition. This tool is also an open-source software and can be used for commercial purposes.
This software is built on top of Caffe2 and Torch frameworks along with C++ and Lua programming languages.
