DeepLeague leverages computer vision and deep learning to analyze League of Legends game footage, specifically the mini-map. It includes a dataset of over 100,000 labeled images and uses YAD2K (a YOLO implementation for Keras) to train models for object detection on game elements. The project aims to advance AI research within the esports domain.