This week, the cards were all finalized and were printed. Therefore I was able to take photos of all the cards in different lightings, backgrounds, and angles. With at least 50 different photos of each card, I was able to start putting them into the labelling software that I set up last week. In this labelling software, I used bounding boxes to manually select each of the items and then assign them to a suit and rank. With these labels generated, I can now output the necessary values to feed into the YOLO algorithm and be able to train the model. My progress is a bit behind schedule but now that all the data is ready to go into the model, I will train the model tomorrow and spend the starting part of this week making the algorithm more efficient locally before integrating it with the system later on this week.