Data Annotation


Data Annotation

Welcome to our Data Annotation Master Class

Get to learn about data entry and land that remote job today! 

Register for your spot now! 

The full course outline is at the bottom of the page. 

Make sure to join our Telegram group for enquiries by clicking the button below. 

There are two main classes

1. Online Classes – Ksh 5,100/=
2. Physical Classes – Ksh 12,500/=

Note: Physical Classes are only available in Nairobi


Business no. – 600100
Account no. – 0100007332259

Stanbic Bank

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    Data Annotation Course Outline

    This is what you will learn on the workshop

    Week 1: Foundations of Data Annotation

    Session 1: Understanding Data Annotation

    – Introduction to data annotation

    – Importance of data annotation in machine learning and AI

    – Types of data annotation: text, image, audio, video, etc.

    – Annotation tools and software overview

    Session 2: Text Annotation Techniques

    – Introduction to text annotation

    – Annotation guidelines and standards

    – Techniques for labeling text data: named entity recognition, sentiment analysis, etc.

    – Hands-on practice with text annotation tools

    Session 3: Image Annotation Techniques

    – Introduction to image annotation

    – Types of image annotation: bounding boxes, polygons, keypoints, etc.

    – Annotation guidelines for different tasks: object detection, image segmentation, etc.

    – Hands-on practice with image annotation tools

    Week 2: Advanced Data Annotation Techniques

    Session 4: Audio Annotation Techniques

    – Introduction to audio annotation

    – Techniques for annotating audio data: speech recognition, speaker identification, emotion recognition, etc.

    – Annotation tools for audio data

    – Hands-on practice with audio annotation

    Session 5: Video Annotation Techniques

    – Introduction to video annotation

    – Techniques for annotating video data: action recognition, object tracking, etc.

    – Annotation guidelines for video data

    – Hands-on practice with video annotation tools

    Session 6: Quality Control and Evaluation

    – Importance of quality control in data annotation

    – Strategies for ensuring annotation accuracy and consistency

    – Techniques for evaluating annotated data

    – Real-world case studies and examples

    Week 3: Applications and Best Practices

    Session 7: Applications of Data Annotation

    – Overview of applications using annotated data: autonomous vehicles, medical imaging, natural language processing, etc.

    – Case studies showcasing the impact of data annotation in various industries

    – Ethical considerations in data annotation

    Session 8: Best Practices in Data Annotation

    – Best practices for creating annotation guidelines

    – Strategies for managing large-scale annotation projects

    – Collaborative annotation techniques and tools

    – Discussion on emerging trends and future directions in data annotation

    Session 9: Project Showcase and Conclusion

    – Presentation of final projects by participants

    – Feedback and discussion on project outcomes

    – Recap of key concepts and takeaways from the course

    – Resources for further learning and professional development

    Thank you for Registering!