What is the basic task of image recognition?

What does not belong to the basic task of image recognition is: D, image compression. Options: a, image classification; B, target detection; C, image segmentation; D. image compression. The relevant contents are as follows:

1, d option, although image compression is related to image processing, it does not directly belong to the task of image recognition. Image compression is to reduce the amount of image data stored and transmitted.

2.ABC These three tasks are all traditional image recognition tasks. Image classification is to automatically classify the input images into some predefined categories. Target detection is to detect a specific object in an image and return the bounding box of the object. Image segmentation is to divide an image into multiple parts or objects to identify and understand the structure and content of the image.

Significance and application of image recognition

I. Meaning

1. Image recognition refers to the technology of processing, analyzing and understanding images by computers to identify targets and objects in different modes. Image recognition technology is an important field of artificial intelligence, which plays an important role in computer vision and is widely used in security, medical care, autonomous driving and other fields.

2. Image recognition technology is generally divided into face recognition and commodity recognition, and face recognition is mainly used in security inspection, identity verification and mobile payment; Commodity identification is mainly used in the process of commodity circulation, especially in unmanned retail fields such as unmanned shelves and intelligent retail cabinets.

3. The process of image recognition is generally divided into four steps: image acquisition → image preprocessing → feature extraction → image recognition 1. With the continuous development of science and technology, image recognition technology will become more and more advanced, the recognized objects will become more and more complex, the recognition speed will become faster and faster, and the application fields will become wider and wider.

Second, the application

1, security monitoring: This is the most common application scenario of image recognition. In public places, airports, stations and other places, through image recognition technology, real-time monitoring and identification of abnormal behavior or objects, improve safety and prevention capabilities.

2. Self-driving: Self-driving cars rely on image recognition technology to identify traffic conditions such as pedestrians, vehicles and road signs. By processing camera and sensor data in real time, autonomous vehicles can make corresponding driving decisions to ensure driving safety.

3. Medical diagnosis: Image recognition technology is also widely used in the medical field. For example, doctors can use image recognition software to help diagnose diseases and automatically detect lesions or abnormalities by analyzing medical images (such as X-rays and ct scans).

4. Retail and e-commerce: Image recognition technology can help retailers and e-commerce platforms realize intelligent shelf management, automatically identify out-of-stock or misplaced goods, and improve the efficiency of inventory management. In addition, through image recognition, consumers can quickly find goods with similar styles, or make suggestions on clothes, shoes and other items.