Tika Data Services Data Annotation Engineer Interview Questions and Answers

Technical questions annotation process

Q1. What is annotation
Ans. 
Annotation is the process of labeling data to make it understandable for machines, often used in machine learning and AI.
• Annotation involves adding metadata or tags to data to provide context or meaning.

• It helps in training machine learning models by providing labeled examples for the algorithm to learn from.

• Examples of annotation include labeling images with objects or text, tagging documents with categories, or marki
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Q2. What are data annotation types?
Ans. 
Data annotation types are labels or tags assigned to data to provide context and make it understandable for machine learning algorithms.
• Classification: Assigning categories or labels to data points (e.g. spam/not spam)

• Bounding Box: Drawing boxes around objects in images to identify their location

• Segmentation: Identifying and labeling specific parts of an image (e.g. pixel-level segmentation)

• Named Entity Recognition: Id...read more
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