A Unique Image Recognition App To Solve Tagging Woes In Bulk Images
Categories : All, Case Study, Web & Desktop Application
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Categories : All, Case Study, Web & Desktop Application
Organizing images based on particular tags can be a tough job. Brainvire has successfully developed this amazing application “TAGGER” that eases the task of end users. This application is basically a desktop based application, which runs on Windows platforms and allows the users to tag numerous photos easily in a single go without any hassle. This software helps in bulk update and management of metadata of images.
Tagging images can be a huge issue, especially when you’re dealing with bulk images. Image intensive companies like digital publishing companies have to go through a lot of pain and labor when it comes to tagging images. Although, there are so many API for image recognition available in the market, they somehow fail to match up with the high expectations of the companies. They are incapable of updating and managing metadata of the required amount of images in a single go, do not give precise results, or they are too expensive. To end these woes of companies, Brainvire decided to come up with one-stop-solution to this problem, which is how the concept of “TAGGER” came into existence.
To solve this issue, Tagger was developed with high-end techniques like face detection and recognition that make the metadata updating and management process smooth and quick like never before. The end user can conduct image search through thousands of images available and detect the person one is intending to locate. The system allows recognition to be configured to match the image at a higher or lower percentage. Tagger doesn’t need any kind of installation, as it can be used directly.
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