AI-Accelerated Product Development
Data Labeling for Machine Learning
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Learn about types of data labeling, tools for labeling, maintaining data quality, security, and scaling
Potential Use Cases
Important factors to consider before data annotation and labeling tool selection
Who is This For ?
ML Engineers, Data Engineers, Data Scientists wanting to label data
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to see details.
1. Introduction to Data Labeling
What is data labeling ?
How does data labeling work ?
2. Types of Data Labeling (Annotation)
How to label different data like text, images, video or audio?
Do you need to handle each datatype in a specific way?
3. Ensuring Quality and Accuracy of Data Labels
How do you ensure high quality data labels over a large dataset?
Is inhouse labeling more accurate than crowdsourced labeling?
4. Scaling the Data Labeling Process
How to create a scalable and sustainable data labeling solution?
5. Security during Data Labeling
What are risks when outsourcing data labeling?
How do you maintain security for data labeling jobs?
6. Common Tools for Data Labeling
What are the common data labeling tools available online?