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.