About
About
This pathway introduces the fundamentals of Image Annotation, focusing on its role in training machine learning models to recognize objects, identify patterns, and make predictions. Students will gain insights into common techniques like bounding boxes, image segmentation, and polygon annotation.
After completing this pathway, you will be able to:
- Interpret the basics of Image Annotation, including its definition and common use cases in AI.
- Learn about key concepts such as object detection, bounding boxes, image segmentation, and pixel-based polygon annotation.
- Explore tools and techniques used for efficient image labeling and annotation.
- Identify challenges in annotating images and best practices for ensuring data quality.
- Interpret the significance of annotated images in improving machine learning model accuracy.
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