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What Is Image Recognition?

Image Recognition is a technology that uses computers to process, analyze, and understand images to identify objects in different modes. It can also improve the image quality with the support of enhancement and reconstruction technologies.

Image Recognition provides services through open Application Programming Interfaces (APIs). You can obtain the inference result by accessing and calling APIs in real time. It helps you collect key data automatically and build an intelligent business system, thereby improving service efficiency.

Image Tagging

Image Tagging can recognize more than 3,000 objects and 20,000 scenarios and tags in natural images, which have extensive semantic meanings because one image contains a wide variety of tags. It can intelligently and precisely understand image content and make intelligent album management, picture retrieval and classification, and scenario- or object-based advertising more intuitive.
Figure 1 Example of Image Tagging

Celebrity Recognition

Celebrity Recognition uses deep neural network (DNN) models to recognize well-known people, such as political figures, celebrities, and Internet celebrities in images.

Recapture Detection

Recapture Detection, as a custom image recognition service, can recognize whether a barcode image is the original one or the one that is recaptured or printed for recapturing by using the deep learning technology and large-scale image detection training. It helps you build an intelligent business system and greatly reduce labor costs.

Dark Enhance

Dark Enhance is used in scenarios where human eyes or machines cannot distinguish objects in the dark when photographing images. It enhances dark areas, so that objects in the dark areas are visible, highlighting the effective visual information in the image.
Figure 2 Comparison between images before and after Dark Enhance


Defog enhances the quality of images photographed in hazy weather. When a camera takes photos or videos in hazy weather, the image or video quality is poor because the shooting scene is unclear. Defog allows you to remove both uniform and non-uniform smog from images using the image defog algorithm.
Figure 3 Comparison between images before and after Defog

Super Resolution

Super Resolution allows you to compensate insufficient or lost image information due to excessively insufficient pixels or compression. It uses deep learning algorithms to supplement missing information in images to achieve better visual effect.
Figure 4 Comparison between images before and after Super Resolution

Background Music Recognition (BMR)

BMR can recognize background music in videos. After receiving the URL of a video, BMR automatically obtains the video, extracts the audio, recognizes the music, and returns the name of the song.