Abstract
We present YOLO, a unified pipeline for object detection that is extremely fast and accurate.
Key Contributions
- Unified Detection: Frame object detection as a single regression problem
- Real-Time Performance: 45 FPS on a Titan X GPU
- Full Image Context: Reasoning about global image context
Results
| Model | mAP | FPS |
|---|---|---|
| YOLO | 63.4 | 45 |
| Fast R-CNN | 70.0 | 0.5 |