Pyyan / Compare / Faster R-CNN vs YOLOv12
Faster R-CNN vs YOLOv12
2 of 5Object Detection · verified 13 Aug 2026
Faster R-CNNMicrosoftcurrentYOLOv12Ultralyticscurrent
| Specification | Faster R-CNN | YOLOv12 |
|---|---|---|
| Summary | The two-stage baseline, still a reference point. | Attention-centric YOLO, still widely deployed. |
| COCO mAP | ~42 | ~55 |
| Speed | Low | Very high |
| Licence | MIT | AGPL-3.0 |
| Family | Two stage | Single stage |
| Open vocabulary | No | No |
| Released | 2015 | 2025 |
| Category | Object Detection | Object Detection |
| Official | Microsoft ↗ | Ultralytics ↗ |
Highlighted rows are where these differ.
Faster R-CNN
- Region proposals then refinement
- Included as the historical baseline
Best for accuracy where latency does not matter.
YOLOv12
- Attention added to the classic single-stage design
- Same licensing consideration as YOLO26
Best for teams already on the YOLO toolchain.