The models are still in beta in our garden:

  

      github.com
  

  
    tensorflow/models/blob/master/official/vision/beta/projects/yolo/README.md 246


    # YOLO Object Detectors, You Only Look Once

[![Paper](http://img.shields.io/badge/Paper-arXiv.1804.02767-B3181B?logo=arXiv)](https://arxiv.org/abs/1804.02767)
[![Paper](http://img.shields.io/badge/Paper-arXiv.2004.10934-B3181B?logo=arXiv)](https://arxiv.org/abs/2004.10934)

This repository is the unofficial implementation of the following papers.
However, we spent painstaking hours ensuring that every aspect that we
constructed was the exact same as the original paper and the original
repository.

* YOLOv3: An Incremental Improvement: [YOLOv3: An Incremental Improvement](https://arxiv.org/abs/1804.02767)

* YOLOv4: Optimal Speed and Accuracy of Object Detection: [YOLOv4: Optimal Speed and Accuracy of Object Detection](https://arxiv.org/abs/2004.10934)

## Description

Yolo v1 the original implementation was released in 2015 providing a ground
breaking algorithm that would quickly process images, and locate objects in a
single pass through the detector. The original implementation based used a
backbone derived from state of the art object classifier of the time, like



  This file has been truncated. show original