
50 Essential Computer Vision Terms (Part I)
Learn essential terms of computer vision, Part 1.
Learn essential terms of computer vision, Part 1.
What is bias in AI/ML models? How do they happen and affect the performance and accuracy?
How data annotation works at scale? How is it different?
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Why should you use rotating bounding boxes, an extension to regular rectangles? Deep dive into rotated boxes with a hands-on project.
What do ideal datasets look like? How to prepare high-quality datasets for training AI/ML models?
What is the data annotator role like? The landscape, responsibilities, skills, and careers.
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Is outsourcing data annotation in medical datasets sensible?