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Image annotation refers to the process of labeling images in a dataset in order to train a machine learning model. As a result, image annotation is used to label the characteristics that your system needs to recognize. Supervised Learning is the process of training an ML model with labeled data. The annotation task is typically done by hand, with the assistance of a computer. A Machine Learning engineer creates the labels, referred to as "categories," and feeds the image-specific data to the computer vision model. After the model has been trained and successfully deployed, it will predict and recognize those established attributes in new images that have not yet been annotated.
Unlock AI potential with EnFuse’s structured document annotation services. They meticulously annotate business documents, forms, and reports to provid...
Manage millions of documents efficiently with EnFuse Solutions’ high-accuracy tagging and annotation services. They support healthcare, legal, finance...
Boost your business with image conversion services as there are different forms of sources where we give the best quality without compressing the file...
Introduction In the fast-paced industrial sector, efficient plant operations are key to productivity, safety, and sustainability. For companies lookin...
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