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
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
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
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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