INF 385T - Special Topics in Information Science: Crowdsourcing for Computer Vision
Graduate standing. Additional prerequisites may vary with the topic.
Study of the properties and behavior of information. Technology for information processing and management.
Three lecture hours a week for one semester.
May be repeated for credit when the topics vary.
Crowdsourcing for Computer Vision
This class will cover fundamental and state-of-art problems in computer vision, the subdiscipline of artificial intelligence that tries to create computers that can "see". Students will explore this field through examination of the human-based challenges faced when teaching computers to see. Classes will be a mix of lectures and hands-on training to
develop practical skills in web development and crowdsourcing.
Old Syllabus File: