This repository provides the official implementation of YOLOv12, a real-time object detection system that makes attention mechanisms central to its design rather than treating them as auxiliary components. The model achieves competitive accuracy-latency tradeoffs compared to other popular detection methods. It is implemented in Python and distributed through standard ML ecosystem channels including Hugging Face Spaces, Roboflow deployment, and training notebooks on Colab and Kaggle.