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Image annotation is the process of marking up elements in an image to include descriptive metadata. The metadata may be text, line drawings, or a more complicated shape like a bounding box. The process helps with understanding the content of an image. Image annotation tools and services are becoming more popular as they help people detect objects, track visual changes over time, and recognize images under different resolutions in large data sets. Image annotation is important because it brings data to life by adding annotations and labels to pictures that augment them with contextual information which can then be further analyzed. This information can be generated entirely by machine learning algorithms or assisted by humans with labels on the other end of the scale who are sitting at a computer all day long filling out forms for a company. What is Image Annotation and Why Does it Matter? Image annotation is the process of attaching a label or tag to a specific part of an image. ...

Image annotation tools and services are now widely used not only by content marketers but also by a wide range of professionals in industries such as AI, marketing, e-commerce, healthcare, and more." An average content marketer uses anywhere between one and three hours every week to annotate images. Annotation has been a huge pain point for a lot of content marketers. Image annotation tools and services can help them save more time and money. Types of Image Annotation Tools and Services You Can Use In Your Marketing Strategy Image annotation is the process of labeling or marking up an image with a series of tags to help contextualize it. This may take the form of creating a callout that can be used as a tooltip in a browser or content management system or inserted into the image itself. The types of tools and services you can use to annotate images are wide and range from free, open-source libraries to commercial paid products. Image annotation has its own purposes an...