Introduction to Lecture 13 3 Object Detection Evaluation
Let's dive into the details surrounding Lecture 13 3 Object Detection Evaluation. Lecture
Lecture 13 3 Object Detection Evaluation Comprehensive Overview
We need to be aware of some more terminologies like Sensitivity (which is nothing but Recall), Specificity, False Positive Rate etc. MIT 6.801 Machine Vision, Fall 2020 Instructor: Berthold Horn View the complete course: https://ocw.mit.edu/6-801F20 YouTube ... Lecture
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Summary & Highlights for Lecture 13 3 Object Detection Evaluation
- At a high level, what are the differences between SIFT and HOG. SIFT works based on identifying Interest Points in an image.
- So today we have uh this
- Okay so that's just one uh use case uh to motivate like why we need
- So here we see Tesla's
- So last
That wraps up our extensive overview of Lecture 13 3 Object Detection Evaluation.
