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.