sunsmarterjie/yolov12
YOLOv12 is an attention-centric real-time object detection model that integrates transformer-style attention mechanisms into the YOLO architecture.
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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.
Frequently asked
- What is sunsmarterjie/yolov12?
- YOLOv12 is an attention-centric real-time object detection model that integrates transformer-style attention mechanisms into the YOLO architecture.
- Is yolov12 open source?
- Yes — sunsmarterjie/yolov12 is open source, released under the AGPL-3.0 license.
- What language is yolov12 written in?
- sunsmarterjie/yolov12 is primarily written in Python.
- How popular is yolov12?
- sunsmarterjie/yolov12 has 2.9k stars on GitHub.
- Where can I find yolov12?
- sunsmarterjie/yolov12 is on GitHub at https://github.com/sunsmarterjie/yolov12.