Skip to content

Latest commit

 

History

History
22 lines (17 loc) · 863 Bytes

README.md

File metadata and controls

22 lines (17 loc) · 863 Bytes

YOLO-V3-TensorFlow

The reimplementation of YOLO-V3 in TensorFlow.(comming soon)

YOLO: Real-Time Object Detection

YOLOv3 is extremely fast and accurate. In mAP measured at .5 IOU YOLOv3 is on par with Focal Loss but about 4x faster. Moreover, you can easily tradeoff between speed and accuracy simply by changing the size of the model, no retraining required!

inference time

What's New in Version 3?

YOLOv3 uses a few tricks to improve training and increase performance, including: multi-scale predictions, a better backbone classifier, and more. The full details are in our paper!

Cite

If you use YOLOv3 in your work please cite our paper!

@article{yolov3,
  title={YOLOv3: An Incremental Improvement},
  author={Redmon, Joseph and Farhadi, Ali},
  journal = {arXiv},
  year={2018}
}