Perhaps the most tedious part of photo management is tagging images. This feature allows users to easily classify and locate photos. Although this task is difficult for the average user, it can evolve into a very valuable business for the image volume business.
Imagga technology, launched in Bulgaria, has now developed an automatic image labeling technology that can analyze the pixel count of a photo and generate relevant text labels. The technology has just reached the internal measurement stage and is currently in open testing.
The Imagga classification image is based on the user's visual theme and assigns a keyword to the photo. Such a person's search can be based on one or a combination of the keywords of the photo. The technology also relies on each keyword, designed to improve the quality of image retrieval and the user's experience.
The company's image recognition platform provides plug-in APIs that allow users to extract photo information. Its auto-tagging API, for example, can process thousands of photos and return a large number of related keywords. The company said that Imagga's technology includes not only proprietary auto-tagging but also automatic classification. , color extraction, retrieval and intelligent cutting. In addition to labels and categories, Imagga technology can intelligently analyze and analyze image combinations and automatically suggest options based on different parts of the image.
Some of Imagga's competitors include Rekognition and Euvision technologies, but Imagga's ease of use, its API and the number of related tags it generates, and the company’s training opportunities and specialized labeling systems for individual customer needs Differentiate yourself.
The company is currently providing corporate clients with their own or crowd source collection services based on paid images. After the listing, the prices are also different. According to API and comprehensive price information, the company publishes the price information of all Imagga's raw materials on the company's website.
