What You'll Learn
- Dive into the process of collecting and preparing a dataset for object detection.
- Understand the process of training the model on your annotated dataset.
- Learn how to evaluate the performance of your trained model using metrics like mAP (mean Average Precision).
- Learn how to set up a Python environment with necessary libraries for machine learning.
Requirements
- Basic knowledge of Python programming.
- Familiarity with machine learning concepts
Who This Course is For
- Machine learning enthusiasts eager to learn about object detection and YOLOv9.
- Data scientists and developers interested in implementing real-time object detection models.
Your Instructor
ARUNNACHALAM SHANMUGARAAJAN
Guiding 100k+ Students to Excellence in Life
4.1 Instructor Rating
2,397 Reviews
118,145 Students
51 Courses
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