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Overview
Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications includeing autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture. In the course projects, you will apply detection models to real-world scenarios and train a model to detect various parking signs. Completing this course will give you the skills to train detection models for your application. By the end of this course, you will be...
Syllabus
- Detecting Objects with Pre-trained Models
- Get started with object detection by using pre-trained models
- Training Object Detection Models
- Use transfer learning to retrain YOLO models for new applications
- Evaluating Object Detection Models
- Use metrics like recall, precision, and mean average precision to evaluate your models
- Final Project: Train and Evaluate a Detection Model
- Apply the full object detection workflow on a final project
MathWorks via Coursera
8 hours 33 minutes
Paid Certificate Available
English
On-Demand
Beginner
Instructor
Mehdi Alemi
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