Detecting Playing Cards with YOLOv8 Object Detection

Learn to implement object detection for playing cards using YOLOv8 and Python in this 30-minute video tutorial. Master the process of loading a trained YOLO model, processing images, and visualizing predictions and ground truth annotations. Gain hands-on experience in importing the YOLOv8 model from the ultralytics library, interpreting annotation data from YAML files, training the model with a custom cards dataset, and making predictions with bounding box visualizations. Follow along with provided code and explore additional computer vision resources, including recommended courses and books for further learning.

Introduction
Installation and Download the dataset
Data discovery
Train
Test the model