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Data annotation is the process of labeling or tagging data to make it understandable for machines. It involves adding metadata or markings to text, images, or other types of data to train and improve machine learning algorithms. This labeled data is crucial for tasks like image recognition, natural language processing, and object detection.

Image Annotation.

Text Annotation.

Video and Audio Annotation

Geospatial Annotation.

Data Collection.

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