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Image annotation is one of the most important stages in the development pictures of computer vision and image recognition applications, which involves identifying, acquiring, describing and interpreting the results of digital images or videos. Computer vision is widely used in artificial intelligence applications such as self-driving cars, medical imaging or security. Therefore, image annotation plays a vital role in the development of AI/ML in many fields. How to label pictures? Image annotation typically requires manual annotation by annotators who determine labels, or "markers," and pass image-specific information to the computer vision model being trained. You can think of this process as a child asking her parents questions to explore the environment in which she lives. Parent classifies the data into common phrases such as bananas, oranges, cats, etc. Common image annotation methods: 1. Rectangular frame labeling Rectangular frame ann...