4 reasons why AI based image tagging is still failing us
AI-based image tagging has been touted as a promising solution to the problem of manually annotating and categorizing large amounts of visual data. By using computer vision algorithms and machine learning models, image tagging can automate the process of assigning descriptive tags or labels to images, making it easier to search, organize, and analyze them. However, despite the progress made in this field, image tagging doesn't work yet as well as expected, and there are several reasons why. Ambiguity and subjectivity of image content One of the main challenges of image tagging is the ambiguity and subjectivity of image content. Unlike text, which can be easily analyzed and processed by machines, images are inherently more complex and open to interpretation....