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Hands-On Data Annotation: Applied Machine Learning

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Are you curious how data powers machine learning and data science? In this course, Wuraola Oyewusi dives into the intricacies of data annotation for machine learning and shows how data is prepared and used for training of machine learning models. Wuraola starts with a big-picture look at the principles, types, and importance of data annotation in machine learning pipelines. She then dives into hands-on use cases for data annotation in natural language processing, computer vision, and general data science using different tools. Other topics include using both open-source and proprietary tools such for data notation, as well as labeling data on major cloud platforms like AWS, Azure, and GCP.


01 - Introduction
  • 01 - Data annotation for machine learning

  • 02 - 1. Data Annotation
  • 01 - What is data annotation
  • 02 - Why is data annotation important in machine learning
  • 03 - Principles of data annotation
  • 04 - Types of data annotation
  • 05 - Data storage structure
  • 06 - Data annotation tools and formats
  • 07 - Data annotation quality

  • 03 - 2. Data Annotation for Computer Vision
  • 01 - Labeling for image classification in notebook using Pigeon
  • 02 - Data annotation with Computer Vision Annotation Tool (CVAT)
  • 03 - Annotation for image classification using CVAT
  • 04 - Data labeling for object detection using CVAT
  • 05 - Model-assisted labeling for object detection using CVAT
  • 06 - Polygon masking in CVAT for semantic segmentation
  • 07 - Segment Anything Model (SAM) for Polygon masking in CVAT
  • 08 - Data annotation with Roboflow Annotate (setup)
  • 09 - Single label for image classification in Roboflow Annotate
  • 10 - Multi-label for image classification in Roboflow Annotate
  • 11 - Image labeling for object detection using Roboflow Annotate
  • 12 - Export annotation in a different format in Roboflow Annotate
  • 13 - Smart Polygon in Roboflow Annotate
  • 14 - Model-assisted video annotation in Roboflow Annotate
  • 15 - Collaboration in Roboflow Annotate

  • 04 - 3. Data Annotation for Natural Language Processing
  • 01 - Text labeling for sentiment analysis in spreadsheets
  • 02 - Data annotation with Universal Data Tool (UDT)
  • 03 - Named Entity Recognition labeling using Universal Data Tool
  • 04 - Label text for classification using the Universal Data Tool
  • 05 - Text data annotation with Prodigy (setup)
  • 06 - Manual annotation for named entity recognition with Prodigy
  • 07 - Semi-automatic text annotation for NER with Prodigy
  • 08 - Command line text annotation for NER with Prodigy
  • 09 - labeling for text classification with Prodigy
  • 10 - Part of speech (POS) labeling with Prodigy
  • 11 - Sentence boundary labeling with Prodigy
  • 12 - Audio data labeling with Prodigy
  • 13 - Audio data transcription with Prodigy

  • 05 - 4. Data Annotation on Cloud Computing Platforms
  • 01 - Data annotation on AWS SageMaker Ground Truth (setup)
  • 02 - Single label image classification annotation in AWS
  • 03 - Multi-label image classification annotation in AWS
  • 04 - Image bounding box annotation for object detection in AWS
  • 05 - Image semantic segmentation annotation in AWS
  • 06 - Video object tracking annotation in AWS
  • 07 - Text labeling for classification in AWS
  • 08 - NER text labeling in AWS
  • 09 - Data annotation on Azure Machine Learning Studio (setup)
  • 10 - Multi-class image classification annotation in Azure ML
  • 11 - Multi-label image classification annotation in Azure ML
  • 12 - Image bounding box annotation for object detection in Azure
  • 13 - Image instance segmentation annotation in Azure
  • 14 - Text labeling for classification in Azure
  • 15 - NER text labeling in Azure
  • 16 - Audio transcription in Azure ML Studio
  • 17 - Data annotation on GCP Vertex AI (setup)
  • 18 - Multi-label image annotation in GCP
  • 19 - Image bounding box annotation for object detection in GCP
  • 20 - Text entity annotation in GCP
  • 21 - Text sentiment scale labeling in GCP
  • 22 - Single-label text labeling in GCP
  • 23 - Video classification annotation in GCP
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