AI Data Annotation Understanding Significance and Ethical Considerations
Data annotation is the process of tagging datasets for supervised training of Machine Learning algorithms. Using these annotated datasets, machines can comprehend what is taught to them, detect and identify objects in their surroundings, calculate attributes with ease, and perform other desired actions.
Here are the different stages of the cycle:
Data cleaning and preparation
Data preparation for model training
Model selection
Model training
Testing
Deployment
Read here the originally posted blog: https://www.damcogroup.com/blogs/unde...
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