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Image recognition is a type of artificial intelligence (AI) programming that is able to assign a single, high-level label to an image by analyzing and interpreting the image's pixel patterns.
Image recognition is a subcategory of computer vision, which is an overarching label for the process of training computers to “see” like humans and take action. It is also related to image processing, which is a catch-all term for using machine learning (ML) algorithms to analyze digital images.
Techopedia Explains Image Recognition
Image recognition is done in many different ways, but many of the top techniques involve the use of supervised learning, neural networks and deep learning algorithms. Through a combination of techniques such as max pooling, stride configuration and padding, convolutional neural filters help machine learning programs get better at identifying the subject of the picture.
Use Cases
Popular uses for image recognition include:
- Optical character recognition (OCR)
- Image categorization
- Digital image search
Image Recognition vs. Object Recognition
The terms image recognition and object recognition (object detection) are often confused. The difference is that image recognition programming analyzes pixel patterns in order to categorize an entire image, while object recognition programming categorizes each pixel pattern in an image.
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Image recognition output = baseball equipment. Object recognition output = mitt, ball, bat, grass. |
