DATA ANNOTATION AND LABELING (DTOUCH SILVER)
Introduction
Data annotation and labeling are essential processes in preparing data for machine learning models. They involve marking or tagging data, such as text, images, videos, or audio, to help machines understand and learn from it.
Course Description
Course Captain: Shanmugaraj - shanmugaraj@desicrew.in
Course Duration: 4 weeks
Assessment Details - Pre assessment, weekly assessment and certification test
Course Curriculum
- Introduction to Data Labeling and Data AnnotationPreview
- a. Introduction to Data Labeling and Data Annotation
- Data Labeling and its Significance
- a. Data Labeling and its Significance
- Challenges in Data Labeling
- a. Challenges in Data Labeling
- Overview of Data Annotation
- Importance of Data Annotation
- Types of Data Annotation
- Tools Used in Data Annotation
- Overview of Leading Data Annotation Tools and Technologies
- Difference Between Data Annotation and Data Labeling
- a. Difference Between Data Annotation and Data Labeling
- b. Difference Between Data Annotation and Data Labeling
- c. Difference Between Data Annotation and Data Labeling
- d. Difference Between Data Annotation and Data Labeling
- e. Difference Between Data Annotation and Data Labeling
- Data Labeling and its Significance in Machine Learning and AI
- a. Data Labeling and its Significance in Machine Learning and AI
- Benefits of Data Annotation in Transportation industry
- How Annotation Benefits the Transportation Industry?
- a. How Annotation Benefits the Transportation Industry
- b. How Annotation Benefits the Transportation Industry
- Data Labelling: The Driving Force Behind Autonomous Vehicle Advancements
- a. Data Labelling: The Driving Force Behind Autonomous Vehicle Advancements
- b. Data Labelling: The Driving Force Behind Autonomous Vehicle Advancements
- c. Data Labelling: The Driving Force Behind Autonomous Vehicle Advancements
- The Significance of High-Quality Data Labelling
Course includes:
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Level
101
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Duration 04:35:00
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Lessons
28
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Certifications
Yes
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Enrolled
2
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Available seats
0
