Image Annotation uses artificial intelligence and machine learning to identify the target characteristics of data. It is used to create datasets for computer vision models and can be done manually or automatically. As part of this process, images are annotated with object classes specified by annotators, labels are applied to images, bounding boxes are drawn around objects, and each box is labeled with an object class, annotations are exported, and accuracy is checked. It can be done manually or with an automated Image Annotation Tool. Through this process, images can be classified, entities recognized, and segments can be segmented, and models can be trained based on the results.
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